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no title author magazine year volume issue page(s) type
1 A cascade deep learning model for diagnosing pharyngeal acid reflux episodes using hypopharyngeal multichannel intraluminal Impedance-pH signals Fu, Jachih
1-2 C p.
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2 Acknowledgments to our reviewers in 2022
1-2 C p.
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3 A comparison of techniques for predicting telehealth visit failure Idarraga, Alexander J.
1-2 C p.
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4 A conceptual IoT framework based on Anova-F feature selection for chronic kidney disease detection using deep learning approach Ali, Md Morshed
1-2 C p.
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5 A Convolutional Neural Network- Based Deep Learning To Detect Reticulocytes From Human Peripheral Blood Reghunandanan, Keerthy
1-2 C p.
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6 A cortical thinning signature to identify World Trade Center responders with possible dementia Clouston, Sean A.P.
1-2 C p.
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7 A critical analysis of COVID-19 research literature: Text mining approach Zengul, Ferhat D.
1-2 C p.
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8 A drug recommendation system based on response prediction: Integrating gene expression and K-mer fragmentation of drug SMILES using LightGBM Naveed, Sajid
1-2 C p.
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9 Advancing breast cancer detection in ultrasound images using a novel hybrid ensemble deep learning model Qasrawi, Radwan
1-2 C p.
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10 Advancing delirium classification: A clinical notes-based natural language processing-supported machine learning model Amjad, Sobia
1-2 C p.
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11 Advancing drug discovery and development through GPT models: a review on challenges, innovations and future prospects Othman, Zhinya Kawa
1-2 C p.
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12 Advancing tuberculosis screening: A tailored CNN approach for accurate chest X-ray analysis and practical clinical integration Mujeeb Rahman, K.K.
1-2 C p.
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13 Agile clinical research: A data science approach to scrumban in clinical medicine Lei, Howard
1-2 C p.
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14 A hybrid of supervised and unsupervised deep learning models for multi-vendor kernel conversion of chest CT images Nam, Yujin
1-2 C p.
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15 A hybrid U-Net model with attention and advanced convolutional learning modules for simultaneous gland segmentation and cancer grade prediction in colorectal histopathological images Dabass, Manju
1-2 C p.
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16 AI in healthcare startups and special challenges Young, Alan S.
1-2 C p.
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17 AIoT-based embedded systems optimization using feature selection for Parkinson's disease diagnosis through speech disorders Saleh, Shawki
1-2 C p.
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18 AI speechbots and 3D segmentations in virtual reality improve radiology on-call training in resource-limited settings Alibrahim, Yusuf
1-2 C p.
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19 A Machine Learning Algorithm Predicts Duration of hospitalization in COVID-19 patients Ebinger, Joseph
1-2 C p.
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20 A mobile application LukaKu as a tool for detecting external wounds with artificial intelligence Novita, Dessy
1-2 C p.
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21 A multimodal machine learning model for bipolar disorder mania classification: Insights from acoustic, linguistic, and visual cues Murugavel, Kiruthiga Devi
1-2 C p.
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22 A multioutput classifier model for breast cancer treatment prediction Abd Al Rahman, Emad
1-2 C p.
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23 An automatic early screening system of eye diseases using UWF fundus images based on deep neural networks Wang, Shubin
1-2 C p.
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24 An effective U-net model for diagnosing Covid-19 infection Kordnoori, Shirin
1-2 C p.
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25 An efficient image segmentation scheme for determination of cranial index in scaphocephalic patients Sabeti, M.
1-2 C p.
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26 An ensemble approach for multi-stage transfer learning models for COVID-19 detection from chest CT scans Hernández Santa Cruz, Jose Francisco
1-2 C p.
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27 A neonatal sepsis prediction algorithm using electronic medical record data from Mbarara Regional Referral Hospital Ezeobi Dennis, Peace
1-2 C p.
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28 A new convolutional neural network-construct for sepsis enhances pattern identification of microcirculatory dysfunction Toledo Ferraz, Carolina
1-2 C p.
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29 A new vision of a simple 1D Convolutional Neural Networks (1D-CNN) with Leaky-ReLU function for ECG abnormalities classification Lakhdari, Kheira
1-2 C p.
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30 An integrated machine learning based adaptive error minimization framework for Alzheimer's stage identification Hossain, Fahima
1-2 C p.
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31 An intelligent ensemble EfficientNet prediction system for interpretations of cardiac magnetic resonance images in heart failure severity diagnosis Muthulakshmi, Muthunayagam
1-2 C p.
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32 A novel automated system to detect breast cancer from ultrasound images using deep fused features with super resolution Alam, Md Nur-A
1-2 C p.
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33 A novel data augmentation approach for mask detection using deep transfer learning Prusty, Manas Ranjan
1-2 C p.
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34 An unsupervised deep learning-based image translation method for retrospective motion correction of high resolution kidney MRI Moinian, Shahrzad
1-2 C p.
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35 Appropriate use of machine learning in healthcare Ozaydin, Bunyamin
1-2 C p.
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36 A robust deep learning algorithm for lung cancer detection from computed tomography images Abe, A.A.
1-2 C p.
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37 Artificial Intelligence (AI) to improve chronic pain care: Evidence of AI learning Piette, John D.
1-2 C p.
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38 Artificial intelligence and COVID-19: Present state and future vision Chang, Anthony C.
1-2 C p.
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39 Artificial intelligence and patient care: Perspectives of audiologists and speech-language pathologists Aggarwal, Komal
1-2 C p.
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40 Artificial intelligence-based rapid on-site cytopathological evaluation for bronchoscopy examinations Ai, Dilbar
1-2 C p.
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41 Artificial intelligence-enabled predictive model of progression from moderate to severe aortic stenosis Moualla, Soundos K.
1-2 C p.
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42 Artificial intelligence for diagnosis of fractures on plain radiographs: A scoping review of current literature Rainey, Clare
1-2 C p.
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43 Artificial intelligence for the diagnosis of Helicobacter pylori infection in endoscopic and pathological tissues images: A systematic review and meta-analysis Wen, Yuting
1-2 C p.
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44 Artificial Intelligence Improves Readability of Digital Health Records Vien, Peter
1-2 C p.
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45 Artificial intelligence in child development monitoring: A systematic review on usage, outcomes and acceptance Reinhart, Lisa
1-2 C p.
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46 Artificial intelligence in echocardiography to diagnose congenital heart disease and fetal echocardiography Gearhart, Addison
1-2 C p.
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47 Artificial intelligence models for predicting cardiovascular diseases in people with type 2 diabetes: A systematic review Wang, Minhong
1-2 C p.
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48 Artificial intelligence to assist physicians in identifying patients with severe aortic stenosis Thomas, James D.
1-2 C p.
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49 Artificial intelligence viewed through the lens of state regulation TerKonda, Sarvam P.
1-2 C p.
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50 Artificial neural network to classify cognitive impairment using gait and clinical variables Zhou, Yuhan
1-2 C p.
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51 ASDvit: Enhancing autism spectrum disorder classification using vision transformer models based on static features of facial images Ibadi, Hayder
1-2 C p.
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52 Assessment of patient perceptions of technology and the use of machine-based learning in a clinical encounter Bett, Ean S.
1-2 C p.
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53 A super learner ensemble of 14 statistical learning models for predicting COVID-19 severity among patients with cardiovascular conditions Ehwerhemuepha, Louis
1-2 C p.
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54 Auto-contouring FDG-PET/MR images for cervical cancer radiation therapy: An intelligent sequential approach using focally trained, shallow U-Nets Baydoun, Atallah
1-2 C p.
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55 Automated analysis of ambulatory surgery patient experience comments using artificial intelligence for quality improvement: A patient centered approach Mathur, Piyush
1-2 C p.
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56 Automated diabetic retinopathy screening for primary care settings using deep learning Bhuiyan, Alauddin
1-2 C p.
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57 Automatic characterization of cerebral MRI images for the detection of autism spectrum disorders Mezrioui, Nour El Houda
1-2 C p.
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58 Automatic detection of decreased ejection fraction and left ventricular hypertrophy on 4D cardiac CTA: Use of artificial intelligence with transfer learning to facilitate multi-site operations Rockenbach, Marcio A.B.C.
1-2 C p.
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59 Automatic generation of operation notes in endoscopic pituitary surgery videos using workflow recognition Das, Adrito
1-2 C p.
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60 Automatic glioma segmentation based on efficient U-net model using MRI images Amri, Yessine
1-2 C p.
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61 Automatic screening for diabetic retinopathy in interracial fundus images using artificial intelligence Katada, Yusaku
1-2 C p.
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62 Breast cancer prediction using machine learning classification algorithms La Moglia, Alan
1-2 C p.
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63 BreastCare application: Moroccan Breast cancer diagnosis through deep learning-based image segmentation and classification Erragzi, Nouhaila
1-2 C p.
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64 Bridging the divide between data scientists and clinicians Bastian, Grace
1-2 C p.
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65 Can artificial intelligence help physicians using diaphragmatic ultrasound? Zhang, Tianjie
1-2 C p.
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66 Cascaded regression with dual CNN frame work for time effective detection of gliomas cancers Deepak, V.K.
1-2 C p.
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67 Case study - Feature engineering inspired by domain experts on real world medical data Björneld, Olof
1-2 C p.
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68 CFMKGATDDA: A new collaborative filtering and multiple kernel graph attention network-based method for predicting drug-disease associations Nguyen, Van Tinh
1-2 C p.
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69 Classification of Cervical Intraepithelial Neoplasia (CIN) using fine-tuned Convolutional Neural Networks Aina, Oluwatomisin E.
1-2 C p.
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70 Clinical applications of artificial intelligence and machine learning in the modern cardiac intensive care unit Jentzer, Jacob C.
1-2 C p.
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71 Clinical prediction system of complications among patients with COVID-19: A development and validation retrospective multicentre study during first wave of the pandemic Ghosheh, Ghadeer O.
1-2 C p.
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72 Clustering polycystic ovary syndrome laboratory results extracted from a large internet forum with machine learning Emanuel, Rebecca H.K.
1-2 C p.
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73 Cognitive behavioral therapy for chronic pain supported by digital patient feedback and artificial intelligence: Do patients with socioeconomic risk factors benefit? Piette, John D.
1-2 C p.
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74 Combining a forward supervised filter learning with a sparse NMF for breast cancer histopathological image classification Karuppasamy, ArunaDevi
1-2 C p.
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75 Comparative analysis of deep learning and machine learning techniques for forecasting new malaria cases in Cameroon’s Adamaoua region Naroum, Esaie
1-2 C p.
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76 Comparative analysis of resource-efficient YOLO models for rapid and accurate recognition of intestinal parasitic eggs in stool microscopy Venkatesan, Kotteswaran
1-2 C p.
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77 Comparing machine learning approaches for predicting the success of ICSI treatment: A study on clinical applications Mohammad, Abrar
1-2 C p.
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78 Computer-vision based method for quantifying rising from chair in Parkinson's disease patients Morinan, Gareth
1-2 C p.
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79 Computer vision with smartphone microphotography for detection of carious lesions Farook, Taseef Hasan
1-2 C p.
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80 Context based ranking strategies for renowned instructional methodologies V, Saranya
1-2 C p.
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81 Continuous-discrete GeoSEIR(D) model for modelling and analysis of geo spread COVID-19 Vyklyuk, Yaroslav
1-2 C p.
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82 COVID-19 pneumonia accurately detected on chest radiographs with artificial intelligence Dorr, Francisco
1-2 C p.
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83 Crowd annotations can approximate clinical autism impressions from short home videos with privacy protections Washington, Peter
1-2 C p.
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84 CTCovid19: Automatic Covid-19 model for Computed Tomography Scans Using Deep Learning Antunes, Carlos
1-2 C p.
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85 Cycle Generative Adversarial Network approach for normalization of Gram-stain images for bacteria detection V, Shwetha
1-2 C p.
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86 Dealing with complexity: How to use a hybrid approach to incorporate complexity in health behavior interventions Mkhitaryan, Samvel
1-2 C p.
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87 Decoding ChatGPT: A primer on large language models for clinicians Hunter, R. Brandon
1-2 C p.
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88 Deep learning and its role in COVID-19 medical imaging Desai, Sudhen B.
1-2 C p.
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89 Deep learning assistance for the histopathologic diagnosis of Helicobacter pylori Zhou, Sharon
1-2 C p.
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90 Deep learning-based approach to diagnose lung cancer using CT-scan images Shatnawi, Mohammad Q.
1-2 C p.
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91 Deep learning based detection of endometriosis lesions in laparoscopic images with 5-fold cross-validation Zaidi, Shujaat Ali
1-2 C p.
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92 Deep learning-based risk classification and auxiliary diagnosis of macular edema Wu, Tianzhu
1-2 C p.
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93 Deep learning outperforms classical machine learning methods in pediatric brain tumor classification through mass spectra Santos Bezerra, Thais Maria
1-2 C p.
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94 Detection of cardiovascular disease using explainable artificial intelligence and gut microbiota data Duyar, Can
1-2 C p.
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95 Developing a decision model to early predict ICU admission for COVID-19 patients: A machine learning approach Ahmed, Abdulaziz
1-2 C p.
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96 Development and validation of a moderate aortic stenosis disease progression model Sotelo, Miguel R.
1-2 C p.
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97 Development of an artificial intelligence model for triage in a military emergency department: Focusing on abdominal pain in soldiers Kim, Yoon-Seop
1-2 C p.
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98 Development of an explainable machine learning model for predicting neurological deterioration in spontaneous intracerebral hemorrhage Yeo, Ming Jie, Jonathan
1-2 C p.
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99 Development of binary-based prediction models for colorectal polyps Morelos-Gomez, Aaron
1-2 C p.
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100 Development of contactless human vital signs monitoring device with remote-photoplethysmography using adaptive region-of-interest and hybrid processing methods Novita, Dessy
1-2 C p.
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101 DFU_MultiNet: A deep neural network approach for detecting diabetic foot ulcers through multi-scale feature fusion using the DFU dataset Biswas, Shuvo
1-2 C p.
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102 DieT Transformer model with PCA-ADE integration for advanced multi-class brain tumor classification Amin, Mohammad
1-2 C p.
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103 Digitizing paper based ECG files to foster deep learning based analysis of existing clinical datasets: An exploratory analysis Adedinsewo, Demilade A.
1-2 C p.
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104 Discriminating Acute Respiratory Distress Syndrome from other forms of respiratory failure via iterative machine learning Afshin-Pour, Babak
1-2 C p.
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105 Dixon-based thorax synthetic CT generation using Generative Adversarial Network Baydoun, Atallah
1-2 C p.
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106 DOTnet 2.0: Deep learning network for diffuse optical tomography image reconstruction Ko, Zhen Yu Gordon
1-2 C p.
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107 Doxorubicin Efficacy Prediction for Glioblastomas using Deep Learning and Differential Equations Garg, Arnav
1-2 C p.
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108 Dual autoencoders modeling of electronic health records for adverse drug event preventability prediction Liao, Wenjun
1-2 C p.
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109 Dynamic prediction of mortality in COVID-19 patients in the intensive care unit: A retrospective multi-center cohort study Smit, J.M.
1-2 C p.
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110 Early detection of neurological abnormalities using a combined phase space reconstruction and deep learning approach Al Fahoum, Amjed
1-2 C p.
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111 Early prediction of sepsis using an XGBoost model with single time-point non-invasive vital signs and its correlation with C-reactive protein and procalcitonin: A multi-center study Yang, Albert C.
1-2 C p.
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112 Enhanced Polycystic Ovary Syndrome diagnosis model leveraging a K-means based genetic algorithm and ensemble approach Faris, Najlaa
1-2 C p.
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113 Enhancing Alzheimer's disease detection: An explainable machine learning approach with ensemble techniques Mahamud, Eram
1-2 C p.
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114 Enhancing nutritional status prediction through attention-based deep learning and explainable AI Santoso, Heru Agus
1-2 C p.
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115 Equivalence of pathologists' and rule-based parser's annotations of Dutch pathology reports Burger, Gerard TN.
1-2 C p.
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116 Erratum regarding previously published articles
1-2 C p.
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117 Estimating the prevalence of diabetic retinopathy in electronic health records with massive missing labels Liang, Ye
1-2 C p.
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118 “Evaluation of screening parameters and machine learning models for the prediction of neonatal sepsis: A systematic review.” Ezeobi Dennis, Peace
1-2 C p.
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119 Exploring the business aspects of digital pathology, deep learning in cancers Reddy, Arjun
1-2 C p.
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120 Feasibility of deep learning to predict tinnitus patient outcomes Adcock, Katherine S.
1-2 C p.
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121 Feasibility study: Detection of developmental dysplasia of the hip using ultrasound performed by a novice user Kersten, Fleur L.E.
1-2 C p.
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122 Features and eigenspectral densities analyses for machine learning and classification of severities in chronic obstructive pulmonary diseases Albiges, Timothy
1-2 C p.
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123 Feature selection using hybridized Genghis Khan Shark with snow ablation optimization technique for multi-disease prognosis Zaitoon, Ruqsar
1-2 C p.
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124 Feed-forward networks using logistic regression and support vector machine for whole-slide breast cancer histopathology image classification Karuppasamy, ArunaDevi
1-2 C p.
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125 Forecasting length of stay: Will it be clear or cloudy today? Deng, Charles
1-2 C p.
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126 Fully automated evaluation of paraspinal muscle morphology and composition in patients with low back pain Giaccone, Paolo
1-2 C p.
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127 Fuzzy based system for coronary artery disease prediction using subtractive clustering and risk factors data El-Ibrahimi, Abdeljalil
1-2 C p.
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128 FuzzyDeepNets based feature extraction for classification of mammograms Dabass, Jyoti
1-2 C p.
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129 Generative AI and scientific manuscript peer review Hoyt, Robert
1-2 C p.
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130 Glaucoma detection in retinal fundus images using U-Net and supervised machine learning algorithms Shinde, Rutuja
1-2 C p.
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131 Harnessing machine learning to support evidence-based medicine: A pragmatic reconciliation framework Abujaber, Ahmad A.
1-2 C p.
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132 HeartPredict algorithm: Machine intelligence for the early detection of heart failure Amadou Boubacar, Habiboulaye
1-2 C p.
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133 Heterogenous analysis of KeyBERT, BERTopic, PyCaret and LDAs methods: P53 in ovarian cancer use case Oveh, R.O.
1-2 C p.
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134 Hospital-acquired infections surveillance and prevention: using Natural Language Processing to analyze unstructured text of hospital discharge letters for surgical site infections identification and risk-stratification. De Angelis, Luigi
1-2 C p.
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135 Hybrid deep learning and active contour approach for enhanced breast lesion segmentation and classification in mammograms Nour, Abdala
1-2 C p.
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136 Hybrid vision transformer and Xception model for reliable CT-based ovarian neoplasms diagnosis Alshdaifat, Eman Hussein
1-2 C p.
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137 Hyperplastic and tubular polyp classification using machine learning and feature selection Doğan, Refika Sultan
1-2 C p.
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138 Image-based machine learning model as a tool for classification of [18F]PR04.MZ PET images in patients with parkinsonian syndrome Jiménez, Maria
1-2 C p.
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139 Improved and robust deep learning agent for preliminary detection of diabetic retinopathy using public datasets Saxena, Gaurav
1-2 C p.
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140 Improving CNN interpretability and evaluation via alternating training and regularization in chest CT scans Ramos-Díaz, Rodrigo
1-2 C p.
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141 Improving the quality of pulmonary nodules segmentation using the new proposed U-Net neural network Sadremomtaz, A.
1-2 C p.
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142 Individual dynamic capabilities and artificial intelligence in health operations: Exploration of innovation diffusion Pesqueira, Antonio
1-2 C p.
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143 Integrating unsupervised and supervised learning techniques to predict traumatic brain injury: A population-based study Zulbayar, Suvd
1-2 C p.
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144 Integration of a deep learning system for automated chest x-ray interpretation in the emergency department: A proof-of-concept Mosquera, Candelaria
1-2 C p.
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145 Intelligence-based medicine: Medici Effect of the modern medical era Chang, Anthony
1-2 C p.
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146 Interrogation of coded healthcare data to facilitate identification of patients with a rare neurotransmitter disorder; Aromatic L-Amino acid decarboxylase deficiency Monaghan, M.
1-2 C p.
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147 Investigating deep-learning NLP for automating the extraction of oncology efficacy endpoints from scientific literature Gendrin-Brokmann, Aline
1-2 C p.
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148 Leveraging Conv-XGBoost algorithm for perceived mental stress detection using Photoplethysmography Kumar, Geethu S.
1-2 C p.
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149 Local integration of deep learning for advanced visualization in congenital heart disease surgical planning Nainamalai, Varatharajan
1-2 C p.
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150 Machine Learning-aided Computational Fragment-based Design of Small Molecules for Hypertension Treatment Lehasa, Odifentse Mapula-e
1-2 C p.
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151 Machine learning algorithms for classifying corneas by Zernike descriptors del Río, María S.
1-2 C p.
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152 Machine learning applications for predicting fracture of the adjacent vertebra after vertebroplasty Hasanpour, Maede
1-2 C p.
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153 Machine learning approach in predicting early antenatal care initiation at first trimester among reproductive women in Somalia: an analysis with SHAP explanations Sani, Jamilu
1-2 C p.
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154 Machine learning-based approach to the diagnosis of cardiovascular vascular disease using a combined dataset Mohi Uddin, Khandaker Mohammad
1-2 C p.
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155 Machine learning-based prediction of low-value care for hospitalized patients King, Andrew J.
1-2 C p.
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156 Machine learning classification of vitamin D levels in spondyloarthritis patients Calvo Pascual, Luis Ángel
1-2 C p.
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157 Machine-learning-enabled prognostic models for sepsis Li, Chunyan
1-2 C p.
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158 Machine learning for ambulatory applications of neuropsychological testing Chandler, Chelsea
1-2 C p.
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159 Machine learning for metabolomics research in drug discovery Martinelli, Dominic D.
1-2 C p.
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160 Machine learning models using mobile game play accurately classify children with autism Deveau, Nicholas
1-2 C p.
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161 Machine learning prediction of Dice similarity coefficient for validation of deformable image registration Wong, Yun Ming
1-2 C p.
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162 Machine learning's performance in classifying postmenopausal osteoporosis Thai patients Thawnashom, Kittisak
1-2 C p.
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163 Machine learning to predict haemorrhage after injury: So many models, so little dynamism Safoncik, Greta
1-2 C p.
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164 Malaysian cough sound analysis and COVID-19 classification with deep learning Kho, Sarah Jane
1-2 C p.
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165 Medical image editing in the latent space of Generative Adversarial Networks Fernández Blanco, Rubén
1-2 C p.
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166 MedTransCluster: Transfer learning for deep medical image clustering Jahanian, Mojtaba
1-2 C p.
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167 Mining trauma care flows of patient cohorts Yari Eili, Mansoureh
1-2 C p.
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168 Model drift: When it can be a sign of success and when it can be an occult problem Carter, Rickey E.
1-2 C p.
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169 Model utility of a deep learning-based segmentation is not Dice coefficient dependent: A case study in volumetric brain blood vessel segmentation Alidoost, Mohammadali
1-2 C p.
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170 Neural networks for cognitive testing: Cognitive test drawing classification Howard, Calvin W.
1-2 C p.
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171 New cognitive computational strategy for optimizing brain tumour classification using magnetic resonance imaging Data Kanna, R. Kishore
1-2 C p.
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172 Novel efficient feature selection: Classification of medical and immunotherapy treatments utilising Random Forest and Decision Trees Mahmoud, Ahsanullah Yunas
1-2 C p.
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173 Novel integration of governmental data sources using machine learning to identify super-utilization among U.S. counties Ricket, Iben M.
1-2 C p.
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174 NUC-Fuse: Multimodal medical image fusion using nuclear norm & classification of brain tumors using ARBFN H., Shihabudeen
1-2 C p.
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175 Open-source small language models for personal medical assistant chatbots Magnini, Matteo
1-2 C p.
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176 Optimal hyperparameter selection of deep learning models for COVID-19 chest X-ray classification Adedigba, Adeyinka P.
1-2 C p.
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177 Optimized deep learning ensemble for accurate oral cancer detection using CNNs and metaheuristic tuning Dharani, R.
1-2 C p.
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178 Optimizing a de novo artificial intelligence-based medical device under a predetermined change control plan: Improved ability to detect or rule out pediatric autism Wall, Dennis P.
1-2 C p.
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179 Optimizing breast cancer diagnosis with convolutional autoencoders: Enhanced performance through modified loss functions Karuppasamy, ArunaDevi
1-2 C p.
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180 Optimizing hyperparameters for dual-attention network in lung segmentation Wahyuningrum, Rima Tri
1-2 C p.
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181 Optimizing ResNet50 performance using stochastic gradient descent on MRI images for Alzheimer's disease classification Mahjoubi, Mohamed Amine
1-2 C p.
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182 Oral cancer segmentation and identification system based on histopathological images using MaskMeanShiftCNN and SV-OnionNet Dharani, R.
1-2 C p.
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183 Outcome prediction for adult mechanically ventilated patients using machine learning models and comparison with conventional statistical methods: A single-centre retrospective study Ong, Wei Jun Dan
1-2 C p.
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184 Outlier-SMOTE: A refined oversampling technique for improved detection of COVID-19 Turlapati, Venkata Pavan Kumar
1-2 C p.
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185 Patent ductus arteriosus (PDA) detection in echocardiograms using deep learning Lei, Howard
1-2 C p.
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186 Physician documentation matters. Using natural language processing to predict mortality in sepsis Cooley-Rieders, Keaton
1-2 C p.
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187 Physician leadership in the new era of AI and digital health tools Ehrenfeld, Jesse
1-2 C p.
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188 Predicting ALS progression using Autoregressive deep learning models Papaiz, Fabiano
1-2 C p.
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189 Predicting health-related quality of life change using natural language processing in thyroid cancer Lian, Ruixue
1-2 C p.
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190 Predicting Hospital Readmission Risk in Patients with Severe Bronchopulmonary Dysplasia: Exploring the Impact of Neighborhood-Level Social Determinants of Health Gorham, Tyler
1-2 C p.
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191 Predicting patient no-shows using machine learning: A comprehensive review and future research agenda Toffaha, Khaled M.
1-2 C p.
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192 Predicting prolonged length of stay in patients with traumatic brain injury: A machine learning approach Abujaber, Ahmad
1-2 C p.
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193 Predicting shunt infection in children with hydrocephalus Sabeti, M.
1-2 C p.
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194 Predicting the effect of Bevacizumab therapy in ovarian cancer from H&E whole slide images using transformer model Hossain, Md Shakhawat
1-2 C p.
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195 Predicting the prevalence of cardiovascular diseases using machine learning algorithms Sianga, Bernada E.
1-2 C p.
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196 Prediction of Alzheimer's disease from magnetic resonance imaging using a convolutional neural network de Silva, Kevin
1-2 C p.
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197 Prediction of skin cancer invasiveness: A comparative study among the regions of Brazil Mata, Marcus Augusto Padilha
1-2 C p.
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198 Predictive modeling of Alzheimer's disease progression: Integrating temporal clinical factors and outcomes in time series forecasting Aqil, K.H.
1-2 C p.
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199 Privacy aspects of direct-to-consumer artificial intelligence/machine learning health apps Gerke, Sara
1-2 C p.
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200 Prognostics for respiratory epidemic dynamics by multivariate gaidai risk assessment methodology Gaidai, Oleg
1-2 C p.
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201 Progressing microbial genomics: Artificial intelligence and deep learning driven advances in genome analysis and therapeutics Dhaarani, R.
1-2 C p.
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202 Prospective clinical evaluation of a machine-learning trained algorithm for detection of arterial pressure transducer drop Rinehart, Joseph
1-2 C p.
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203 Publishing Artificial Intelligence research papers: A tale of three journals Shortliffe, Edward H.
1-2 C p.
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204 Rapid-Motion-Track: Markerless tracking of fast human motion with deep learning Li, Renjie
1-2 C p.
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205 Real-time artificial intelligence validation of critical view of safety in laparoscopic cholecystectomy Leifman, George
1-2 C p.
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206 Reinforcement learning in large, structured action spaces: A simulation study of decision support for spinal cord injury rehabilitation Phelps, Nathan
1-2 C p.
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207 Rhi3DGen: Analyzing Rhinophyma using 3D face models and synthetic data Mohanty, Anwesha
1-2 C p.
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208 Sex, ethnicity, and race data are often unreported in artificial intelligence and machine learning studies in medicine Elmahdy, Mahmoud
1-2 C p.
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209 Skin cancer detection using deep machine learning techniques Akinrinade, Olusoji
1-2 C p.
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210 Skin cancer detection using lightweight model souping and ensembling knowledge distillation for memory-constrained devices Kabir, Muhammad Rafsan
1-2 C p.
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211 Stratification of keratoconus progression using unsupervised machine learning analysis of tomographical parameters Cao, Ke
1-2 C p.
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212 Synthea™ Novel coronavirus (COVID-19) model and synthetic data set Walonoski, Jason
1-2 C p.
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213 Systematic literature review and meta-analysis for real-world versus clinical validation performance of artificial intelligence applications indicated for ICH and LVO detection Le, Jason
1-2 C p.
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214 Temporal convolutional network on Raman shift for human osteoblast cells fingerprint analysis Morganti, Dario
1-2 C p.
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215 Testing the real-world utility of Bayes theorem in artificial intelligence-enabled electrocardiogram algorithm for the detection of left ventricular systolic dysfunction Medina-Inojosa, Betsy J.
1-2 C p.
 article
216 The challenges of health inequities and AI Moore, Candace Makeda
1-2 C p.
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217 The ethical considerations including inclusion and biases, data protection, and proper implementation among AI in radiology and potential implications Martin, Clarissa
1-2 C p.
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218 The impact of artificial intelligence on large vessel occlusion stroke detection and management: A systematic review meta-analysis Zebrowitz, Elan
1-2 C p.
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219 The trend of artificial intelligence application in medicine and neurology; the state-of-the-art systematic scoping review 2010–2022 Abbasi, Mohammad Hossein
1-2 C p.
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220 Toward enhanced free-living fall risk assessment: Data mining and deep learning for environment and terrain classification Moore, Jason
1-2 C p.
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221 Towards a national capability framework for Artificial Intelligence and Digital Medicine tools – A learning needs approach Abdulhussein, Hatim
1-2 C p.
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222 Towards automation of transcranial Doppler ultrasound data in pediatric cerebral malaria Zhang, Bo
1-2 C p.
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223 Towards early sepsis detection from measurements at the general ward through deep learning Oei, Sebastiaan P.
1-2 C p.
 article
224 Twelve key challenges in medical machine learning and solutions Ellis, Randall J.
1-2 C p.
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225 Unsupervised learning for county-level typological classification for COVID-19 research Lai, Yuan
1-2 C p.
 article
226 Using artificial intelligence to risk stratify COVID-19 patients based on chest X-ray findings Hipolito Canario, Diego A.
1-2 C p.
 article
227 Using big data to predict young adult ischemic vs. non-ischemic heart disease risk factors: An artificial intelligence based model Bani Hani, Salam
1-2 C p.
 article
228 Using convolutional network in graphical model detection of autism disorders with fuzzy inference systems Rajaprakash, S.
1-2 C p.
 article
229 Using machine learning and clinical registry data to uncover variation in clinical decision making James, Charlotte
1-2 C p.
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230 VacSIM: Learning effective strategies for COVID-19 vaccine distribution using reinforcement learning Awasthi, Raghav
1-2 C p.
 article
231 Validation in the age of machine learning: A framework for describing validation with examples in transcranial magnetic stimulation and deep brain stimulation Baxter, John S.H.
1-2 C p.
 article
232 V-NET-VGG16: Hybrid deep learning architecture for optimal segmentation and classification of multi-differentiated liver tumors Ben Slama, Amine
1-2 C p.
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233 What we talk about when we talk about trust: Theory of trust for AI in healthcare Gille, Felix
1-2 C p.
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234 Who will stay a little longer? Predicting length of stay in hip and knee arthroplasty patients using machine learning Langenberger, Benedikt
1-2 C p.
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235 Zero-shot learning and its applications from autonomous vehicles to COVID-19 diagnosis: A review Rezaei, Mahdi
1-2 C p.
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                             235 results found
 
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