nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A cascade deep learning model for diagnosing pharyngeal acid reflux episodes using hypopharyngeal multichannel intraluminal Impedance-pH signals
|
Fu, Jachih |
|
|
3-4 |
C |
p. |
artikel |
2 |
Acknowledgments to our reviewers in 2022
|
|
|
|
3-4 |
C |
p. |
artikel |
3 |
A comparison of techniques for predicting telehealth visit failure
|
Idarraga, Alexander J. |
|
|
3-4 |
C |
p. |
artikel |
4 |
A conceptual IoT framework based on Anova-F feature selection for chronic kidney disease detection using deep learning approach
|
Ali, Md Morshed |
|
|
3-4 |
C |
p. |
artikel |
5 |
A Convolutional Neural Network- Based Deep Learning To Detect Reticulocytes From Human Peripheral Blood
|
Reghunandanan, Keerthy |
|
|
3-4 |
C |
p. |
artikel |
6 |
A cortical thinning signature to identify World Trade Center responders with possible dementia
|
Clouston, Sean A.P. |
|
|
3-4 |
C |
p. |
artikel |
7 |
A critical analysis of COVID-19 research literature: Text mining approach
|
Zengul, Ferhat D. |
|
|
3-4 |
C |
p. |
artikel |
8 |
A drug recommendation system based on response prediction: Integrating gene expression and K-mer fragmentation of drug SMILES using LightGBM
|
Naveed, Sajid |
|
|
3-4 |
C |
p. |
artikel |
9 |
Advancing breast cancer detection in ultrasound images using a novel hybrid ensemble deep learning model
|
Qasrawi, Radwan |
|
|
3-4 |
C |
p. |
artikel |
10 |
Advancing delirium classification: A clinical notes-based natural language processing-supported machine learning model
|
Amjad, Sobia |
|
|
3-4 |
C |
p. |
artikel |
11 |
Advancing drug discovery and development through GPT models: a review on challenges, innovations and future prospects
|
Othman, Zhinya Kawa |
|
|
3-4 |
C |
p. |
artikel |
12 |
Advancing tuberculosis screening: A tailored CNN approach for accurate chest X-ray analysis and practical clinical integration
|
Mujeeb Rahman, K.K. |
|
|
3-4 |
C |
p. |
artikel |
13 |
Agile clinical research: A data science approach to scrumban in clinical medicine
|
Lei, Howard |
|
|
3-4 |
C |
p. |
artikel |
14 |
A hybrid of supervised and unsupervised deep learning models for multi-vendor kernel conversion of chest CT images
|
Nam, Yujin |
|
|
3-4 |
C |
p. |
artikel |
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 |
|
|
3-4 |
C |
p. |
artikel |
16 |
AI in healthcare startups and special challenges
|
Young, Alan S. |
|
|
3-4 |
C |
p. |
artikel |
17 |
AIoT-based embedded systems optimization using feature selection for Parkinson's disease diagnosis through speech disorders
|
Saleh, Shawki |
|
|
3-4 |
C |
p. |
artikel |
18 |
AI speechbots and 3D segmentations in virtual reality improve radiology on-call training in resource-limited settings
|
Alibrahim, Yusuf |
|
|
3-4 |
C |
p. |
artikel |
19 |
A Machine Learning Algorithm Predicts Duration of hospitalization in COVID-19 patients
|
Ebinger, Joseph |
|
|
3-4 |
C |
p. |
artikel |
20 |
A mobile application LukaKu as a tool for detecting external wounds with artificial intelligence
|
Novita, Dessy |
|
|
3-4 |
C |
p. |
artikel |
21 |
A multimodal machine learning model for bipolar disorder mania classification: Insights from acoustic, linguistic, and visual cues
|
Murugavel, Kiruthiga Devi |
|
|
3-4 |
C |
p. |
artikel |
22 |
A multioutput classifier model for breast cancer treatment prediction
|
Abd Al Rahman, Emad |
|
|
3-4 |
C |
p. |
artikel |
23 |
An automatic early screening system of eye diseases using UWF fundus images based on deep neural networks
|
Wang, Shubin |
|
|
3-4 |
C |
p. |
artikel |
24 |
An effective U-net model for diagnosing Covid-19 infection
|
Kordnoori, Shirin |
|
|
3-4 |
C |
p. |
artikel |
25 |
An efficient image segmentation scheme for determination of cranial index in scaphocephalic patients
|
Sabeti, M. |
|
|
3-4 |
C |
p. |
artikel |
26 |
An ensemble approach for multi-stage transfer learning models for COVID-19 detection from chest CT scans
|
Hernández Santa Cruz, Jose Francisco |
|
|
3-4 |
C |
p. |
artikel |
27 |
A neonatal sepsis prediction algorithm using electronic medical record data from Mbarara Regional Referral Hospital
|
Ezeobi Dennis, Peace |
|
|
3-4 |
C |
p. |
artikel |
28 |
A new convolutional neural network-construct for sepsis enhances pattern identification of microcirculatory dysfunction
|
Toledo Ferraz, Carolina |
|
|
3-4 |
C |
p. |
artikel |
29 |
A new vision of a simple 1D Convolutional Neural Networks (1D-CNN) with Leaky-ReLU function for ECG abnormalities classification
|
Lakhdari, Kheira |
|
|
3-4 |
C |
p. |
artikel |
30 |
An integrated machine learning based adaptive error minimization framework for Alzheimer's stage identification
|
Hossain, Fahima |
|
|
3-4 |
C |
p. |
artikel |
31 |
An intelligent ensemble EfficientNet prediction system for interpretations of cardiac magnetic resonance images in heart failure severity diagnosis
|
Muthulakshmi, Muthunayagam |
|
|
3-4 |
C |
p. |
artikel |
32 |
A novel automated system to detect breast cancer from ultrasound images using deep fused features with super resolution
|
Alam, Md Nur-A |
|
|
3-4 |
C |
p. |
artikel |
33 |
A novel data augmentation approach for mask detection using deep transfer learning
|
Prusty, Manas Ranjan |
|
|
3-4 |
C |
p. |
artikel |
34 |
An unsupervised deep learning-based image translation method for retrospective motion correction of high resolution kidney MRI
|
Moinian, Shahrzad |
|
|
3-4 |
C |
p. |
artikel |
35 |
Appropriate use of machine learning in healthcare
|
Ozaydin, Bunyamin |
|
|
3-4 |
C |
p. |
artikel |
36 |
A robust deep learning algorithm for lung cancer detection from computed tomography images
|
Abe, A.A. |
|
|
3-4 |
C |
p. |
artikel |
37 |
Artificial Intelligence (AI) to improve chronic pain care: Evidence of AI learning
|
Piette, John D. |
|
|
3-4 |
C |
p. |
artikel |
38 |
Artificial intelligence and COVID-19: Present state and future vision
|
Chang, Anthony C. |
|
|
3-4 |
C |
p. |
artikel |
39 |
Artificial intelligence and patient care: Perspectives of audiologists and speech-language pathologists
|
Aggarwal, Komal |
|
|
3-4 |
C |
p. |
artikel |
40 |
Artificial intelligence-based rapid on-site cytopathological evaluation for bronchoscopy examinations
|
Ai, Dilbar |
|
|
3-4 |
C |
p. |
artikel |
41 |
Artificial intelligence-enabled predictive model of progression from moderate to severe aortic stenosis
|
Moualla, Soundos K. |
|
|
3-4 |
C |
p. |
artikel |
42 |
Artificial intelligence for diagnosis of fractures on plain radiographs: A scoping review of current literature
|
Rainey, Clare |
|
|
3-4 |
C |
p. |
artikel |
43 |
Artificial intelligence for the diagnosis of Helicobacter pylori infection in endoscopic and pathological tissues images: A systematic review and meta-analysis
|
Wen, Yuting |
|
|
3-4 |
C |
p. |
artikel |
44 |
Artificial Intelligence Improves Readability of Digital Health Records
|
Vien, Peter |
|
|
3-4 |
C |
p. |
artikel |
45 |
Artificial intelligence in child development monitoring: A systematic review on usage, outcomes and acceptance
|
Reinhart, Lisa |
|
|
3-4 |
C |
p. |
artikel |
46 |
Artificial intelligence in echocardiography to diagnose congenital heart disease and fetal echocardiography
|
Gearhart, Addison |
|
|
3-4 |
C |
p. |
artikel |
47 |
Artificial intelligence models for predicting cardiovascular diseases in people with type 2 diabetes: A systematic review
|
Wang, Minhong |
|
|
3-4 |
C |
p. |
artikel |
48 |
Artificial intelligence to assist physicians in identifying patients with severe aortic stenosis
|
Thomas, James D. |
|
|
3-4 |
C |
p. |
artikel |
49 |
Artificial intelligence viewed through the lens of state regulation
|
TerKonda, Sarvam P. |
|
|
3-4 |
C |
p. |
artikel |
50 |
Artificial neural network to classify cognitive impairment using gait and clinical variables
|
Zhou, Yuhan |
|
|
3-4 |
C |
p. |
artikel |
51 |
ASDvit: Enhancing autism spectrum disorder classification using vision transformer models based on static features of facial images
|
Ibadi, Hayder |
|
|
3-4 |
C |
p. |
artikel |
52 |
Assessment of patient perceptions of technology and the use of machine-based learning in a clinical encounter
|
Bett, Ean S. |
|
|
3-4 |
C |
p. |
artikel |
53 |
A super learner ensemble of 14 statistical learning models for predicting COVID-19 severity among patients with cardiovascular conditions
|
Ehwerhemuepha, Louis |
|
|
3-4 |
C |
p. |
artikel |
54 |
Auto-contouring FDG-PET/MR images for cervical cancer radiation therapy: An intelligent sequential approach using focally trained, shallow U-Nets
|
Baydoun, Atallah |
|
|
3-4 |
C |
p. |
artikel |
55 |
Automated analysis of ambulatory surgery patient experience comments using artificial intelligence for quality improvement: A patient centered approach
|
Mathur, Piyush |
|
|
3-4 |
C |
p. |
artikel |
56 |
Automated diabetic retinopathy screening for primary care settings using deep learning
|
Bhuiyan, Alauddin |
|
|
3-4 |
C |
p. |
artikel |
57 |
Automatic characterization of cerebral MRI images for the detection of autism spectrum disorders
|
Mezrioui, Nour El Houda |
|
|
3-4 |
C |
p. |
artikel |
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. |
|
|
3-4 |
C |
p. |
artikel |
59 |
Automatic generation of operation notes in endoscopic pituitary surgery videos using workflow recognition
|
Das, Adrito |
|
|
3-4 |
C |
p. |
artikel |
60 |
Automatic glioma segmentation based on efficient U-net model using MRI images
|
Amri, Yessine |
|
|
3-4 |
C |
p. |
artikel |
61 |
Automatic screening for diabetic retinopathy in interracial fundus images using artificial intelligence
|
Katada, Yusaku |
|
|
3-4 |
C |
p. |
artikel |
62 |
Breast cancer prediction using machine learning classification algorithms
|
La Moglia, Alan |
|
|
3-4 |
C |
p. |
artikel |
63 |
BreastCare application: Moroccan Breast cancer diagnosis through deep learning-based image segmentation and classification
|
Erragzi, Nouhaila |
|
|
3-4 |
C |
p. |
artikel |
64 |
Bridging the divide between data scientists and clinicians
|
Bastian, Grace |
|
|
3-4 |
C |
p. |
artikel |
65 |
Can artificial intelligence help physicians using diaphragmatic ultrasound?
|
Zhang, Tianjie |
|
|
3-4 |
C |
p. |
artikel |
66 |
Cascaded regression with dual CNN frame work for time effective detection of gliomas cancers
|
Deepak, V.K. |
|
|
3-4 |
C |
p. |
artikel |
67 |
Case study - Feature engineering inspired by domain experts on real world medical data
|
Björneld, Olof |
|
|
3-4 |
C |
p. |
artikel |
68 |
CFMKGATDDA: A new collaborative filtering and multiple kernel graph attention network-based method for predicting drug-disease associations
|
Nguyen, Van Tinh |
|
|
3-4 |
C |
p. |
artikel |
69 |
Classification of Cervical Intraepithelial Neoplasia (CIN) using fine-tuned Convolutional Neural Networks
|
Aina, Oluwatomisin E. |
|
|
3-4 |
C |
p. |
artikel |
70 |
Clinical applications of artificial intelligence and machine learning in the modern cardiac intensive care unit
|
Jentzer, Jacob C. |
|
|
3-4 |
C |
p. |
artikel |
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. |
|
|
3-4 |
C |
p. |
artikel |
72 |
Clustering polycystic ovary syndrome laboratory results extracted from a large internet forum with machine learning
|
Emanuel, Rebecca H.K. |
|
|
3-4 |
C |
p. |
artikel |
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. |
|
|
3-4 |
C |
p. |
artikel |
74 |
Combining a forward supervised filter learning with a sparse NMF for breast cancer histopathological image classification
|
Karuppasamy, ArunaDevi |
|
|
3-4 |
C |
p. |
artikel |
75 |
Comparative analysis of deep learning and machine learning techniques for forecasting new malaria cases in Cameroon’s Adamaoua region
|
Naroum, Esaie |
|
|
3-4 |
C |
p. |
artikel |
76 |
Comparative analysis of resource-efficient YOLO models for rapid and accurate recognition of intestinal parasitic eggs in stool microscopy
|
Venkatesan, Kotteswaran |
|
|
3-4 |
C |
p. |
artikel |
77 |
Comparing machine learning approaches for predicting the success of ICSI treatment: A study on clinical applications
|
Mohammad, Abrar |
|
|
3-4 |
C |
p. |
artikel |
78 |
Computer-vision based method for quantifying rising from chair in Parkinson's disease patients
|
Morinan, Gareth |
|
|
3-4 |
C |
p. |
artikel |
79 |
Computer vision with smartphone microphotography for detection of carious lesions
|
Farook, Taseef Hasan |
|
|
3-4 |
C |
p. |
artikel |
80 |
Context based ranking strategies for renowned instructional methodologies
|
V, Saranya |
|
|
3-4 |
C |
p. |
artikel |
81 |
Continuous-discrete GeoSEIR(D) model for modelling and analysis of geo spread COVID-19
|
Vyklyuk, Yaroslav |
|
|
3-4 |
C |
p. |
artikel |
82 |
COVID-19 pneumonia accurately detected on chest radiographs with artificial intelligence
|
Dorr, Francisco |
|
|
3-4 |
C |
p. |
artikel |
83 |
Crowd annotations can approximate clinical autism impressions from short home videos with privacy protections
|
Washington, Peter |
|
|
3-4 |
C |
p. |
artikel |
84 |
CTCovid19: Automatic Covid-19 model for Computed Tomography Scans Using Deep Learning
|
Antunes, Carlos |
|
|
3-4 |
C |
p. |
artikel |
85 |
Cycle Generative Adversarial Network approach for normalization of Gram-stain images for bacteria detection
|
V, Shwetha |
|
|
3-4 |
C |
p. |
artikel |
86 |
Dealing with complexity: How to use a hybrid approach to incorporate complexity in health behavior interventions
|
Mkhitaryan, Samvel |
|
|
3-4 |
C |
p. |
artikel |
87 |
Decoding ChatGPT: A primer on large language models for clinicians
|
Hunter, R. Brandon |
|
|
3-4 |
C |
p. |
artikel |
88 |
Deep learning and its role in COVID-19 medical imaging
|
Desai, Sudhen B. |
|
|
3-4 |
C |
p. |
artikel |
89 |
Deep learning assistance for the histopathologic diagnosis of Helicobacter pylori
|
Zhou, Sharon |
|
|
3-4 |
C |
p. |
artikel |
90 |
Deep learning-based approach to diagnose lung cancer using CT-scan images
|
Shatnawi, Mohammad Q. |
|
|
3-4 |
C |
p. |
artikel |
91 |
Deep learning based detection of endometriosis lesions in laparoscopic images with 5-fold cross-validation
|
Zaidi, Shujaat Ali |
|
|
3-4 |
C |
p. |
artikel |
92 |
Deep learning-based risk classification and auxiliary diagnosis of macular edema
|
Wu, Tianzhu |
|
|
3-4 |
C |
p. |
artikel |
93 |
Deep learning outperforms classical machine learning methods in pediatric brain tumor classification through mass spectra
|
Santos Bezerra, Thais Maria |
|
|
3-4 |
C |
p. |
artikel |
94 |
Detection of cardiovascular disease using explainable artificial intelligence and gut microbiota data
|
Duyar, Can |
|
|
3-4 |
C |
p. |
artikel |
95 |
Developing a decision model to early predict ICU admission for COVID-19 patients: A machine learning approach
|
Ahmed, Abdulaziz |
|
|
3-4 |
C |
p. |
artikel |
96 |
Development and validation of a moderate aortic stenosis disease progression model
|
Sotelo, Miguel R. |
|
|
3-4 |
C |
p. |
artikel |
97 |
Development of an artificial intelligence model for triage in a military emergency department: Focusing on abdominal pain in soldiers
|
Kim, Yoon-Seop |
|
|
3-4 |
C |
p. |
artikel |
98 |
Development of an explainable machine learning model for predicting neurological deterioration in spontaneous intracerebral hemorrhage
|
Yeo, Ming Jie, Jonathan |
|
|
3-4 |
C |
p. |
artikel |
99 |
Development of binary-based prediction models for colorectal polyps
|
Morelos-Gomez, Aaron |
|
|
3-4 |
C |
p. |
artikel |
100 |
Development of contactless human vital signs monitoring device with remote-photoplethysmography using adaptive region-of-interest and hybrid processing methods
|
Novita, Dessy |
|
|
3-4 |
C |
p. |
artikel |
101 |
DFU_MultiNet: A deep neural network approach for detecting diabetic foot ulcers through multi-scale feature fusion using the DFU dataset
|
Biswas, Shuvo |
|
|
3-4 |
C |
p. |
artikel |
102 |
DieT Transformer model with PCA-ADE integration for advanced multi-class brain tumor classification
|
Amin, Mohammad |
|
|
3-4 |
C |
p. |
artikel |
103 |
Digitizing paper based ECG files to foster deep learning based analysis of existing clinical datasets: An exploratory analysis
|
Adedinsewo, Demilade A. |
|
|
3-4 |
C |
p. |
artikel |
104 |
Discriminating Acute Respiratory Distress Syndrome from other forms of respiratory failure via iterative machine learning
|
Afshin-Pour, Babak |
|
|
3-4 |
C |
p. |
artikel |
105 |
Dixon-based thorax synthetic CT generation using Generative Adversarial Network
|
Baydoun, Atallah |
|
|
3-4 |
C |
p. |
artikel |
106 |
DOTnet 2.0: Deep learning network for diffuse optical tomography image reconstruction
|
Ko, Zhen Yu Gordon |
|
|
3-4 |
C |
p. |
artikel |
107 |
Doxorubicin Efficacy Prediction for Glioblastomas using Deep Learning and Differential Equations
|
Garg, Arnav |
|
|
3-4 |
C |
p. |
artikel |
108 |
Dual autoencoders modeling of electronic health records for adverse drug event preventability prediction
|
Liao, Wenjun |
|
|
3-4 |
C |
p. |
artikel |
109 |
Dynamic prediction of mortality in COVID-19 patients in the intensive care unit: A retrospective multi-center cohort study
|
Smit, J.M. |
|
|
3-4 |
C |
p. |
artikel |
110 |
Early detection of neurological abnormalities using a combined phase space reconstruction and deep learning approach
|
Al Fahoum, Amjed |
|
|
3-4 |
C |
p. |
artikel |
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. |
|
|
3-4 |
C |
p. |
artikel |
112 |
Enhanced Polycystic Ovary Syndrome diagnosis model leveraging a K-means based genetic algorithm and ensemble approach
|
Faris, Najlaa |
|
|
3-4 |
C |
p. |
artikel |
113 |
Enhancing Alzheimer's disease detection: An explainable machine learning approach with ensemble techniques
|
Mahamud, Eram |
|
|
3-4 |
C |
p. |
artikel |
114 |
Enhancing nutritional status prediction through attention-based deep learning and explainable AI
|
Santoso, Heru Agus |
|
|
3-4 |
C |
p. |
artikel |
115 |
Equivalence of pathologists' and rule-based parser's annotations of Dutch pathology reports
|
Burger, Gerard TN. |
|
|
3-4 |
C |
p. |
artikel |
116 |
Erratum regarding previously published articles
|
|
|
|
3-4 |
C |
p. |
artikel |
117 |
Estimating the prevalence of diabetic retinopathy in electronic health records with massive missing labels
|
Liang, Ye |
|
|
3-4 |
C |
p. |
artikel |
118 |
“Evaluation of screening parameters and machine learning models for the prediction of neonatal sepsis: A systematic review.”
|
Ezeobi Dennis, Peace |
|
|
3-4 |
C |
p. |
artikel |
119 |
Exploring the business aspects of digital pathology, deep learning in cancers
|
Reddy, Arjun |
|
|
3-4 |
C |
p. |
artikel |
120 |
Feasibility of deep learning to predict tinnitus patient outcomes
|
Adcock, Katherine S. |
|
|
3-4 |
C |
p. |
artikel |
121 |
Feasibility study: Detection of developmental dysplasia of the hip using ultrasound performed by a novice user
|
Kersten, Fleur L.E. |
|
|
3-4 |
C |
p. |
artikel |
122 |
Features and eigenspectral densities analyses for machine learning and classification of severities in chronic obstructive pulmonary diseases
|
Albiges, Timothy |
|
|
3-4 |
C |
p. |
artikel |
123 |
Feature selection using hybridized Genghis Khan Shark with snow ablation optimization technique for multi-disease prognosis
|
Zaitoon, Ruqsar |
|
|
3-4 |
C |
p. |
artikel |
124 |
Feed-forward networks using logistic regression and support vector machine for whole-slide breast cancer histopathology image classification
|
Karuppasamy, ArunaDevi |
|
|
3-4 |
C |
p. |
artikel |
125 |
Forecasting length of stay: Will it be clear or cloudy today?
|
Deng, Charles |
|
|
3-4 |
C |
p. |
artikel |
126 |
Fully automated evaluation of paraspinal muscle morphology and composition in patients with low back pain
|
Giaccone, Paolo |
|
|
3-4 |
C |
p. |
artikel |
127 |
Fuzzy based system for coronary artery disease prediction using subtractive clustering and risk factors data
|
El-Ibrahimi, Abdeljalil |
|
|
3-4 |
C |
p. |
artikel |
128 |
FuzzyDeepNets based feature extraction for classification of mammograms
|
Dabass, Jyoti |
|
|
3-4 |
C |
p. |
artikel |
129 |
Generative AI and scientific manuscript peer review
|
Hoyt, Robert |
|
|
3-4 |
C |
p. |
artikel |
130 |
Glaucoma detection in retinal fundus images using U-Net and supervised machine learning algorithms
|
Shinde, Rutuja |
|
|
3-4 |
C |
p. |
artikel |
131 |
Harnessing machine learning to support evidence-based medicine: A pragmatic reconciliation framework
|
Abujaber, Ahmad A. |
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HeartPredict algorithm: Machine intelligence for the early detection of heart failure
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Heterogenous analysis of KeyBERT, BERTopic, PyCaret and LDAs methods: P53 in ovarian cancer use case
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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.
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Hybrid deep learning and active contour approach for enhanced breast lesion segmentation and classification in mammograms
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Hybrid vision transformer and Xception model for reliable CT-based ovarian neoplasms diagnosis
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Hyperplastic and tubular polyp classification using machine learning and feature selection
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Image-based machine learning model as a tool for classification of [18F]PR04.MZ PET images in patients with parkinsonian syndrome
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Improved and robust deep learning agent for preliminary detection of diabetic retinopathy using public datasets
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Improving CNN interpretability and evaluation via alternating training and regularization in chest CT scans
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Improving the quality of pulmonary nodules segmentation using the new proposed U-Net neural network
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Individual dynamic capabilities and artificial intelligence in health operations: Exploration of innovation diffusion
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Integrating unsupervised and supervised learning techniques to predict traumatic brain injury: A population-based study
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Integration of a deep learning system for automated chest x-ray interpretation in the emergency department: A proof-of-concept
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Intelligence-based medicine: Medici Effect of the modern medical era
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Interrogation of coded healthcare data to facilitate identification of patients with a rare neurotransmitter disorder; Aromatic L-Amino acid decarboxylase deficiency
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Investigating deep-learning NLP for automating the extraction of oncology efficacy endpoints from scientific literature
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Leveraging Conv-XGBoost algorithm for perceived mental stress detection using Photoplethysmography
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Local integration of deep learning for advanced visualization in congenital heart disease surgical planning
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Machine Learning-aided Computational Fragment-based Design of Small Molecules for Hypertension Treatment
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Machine learning algorithms for classifying corneas by Zernike descriptors
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Machine learning applications for predicting fracture of the adjacent vertebra after vertebroplasty
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Machine learning approach in predicting early antenatal care initiation at first trimester among reproductive women in Somalia: an analysis with SHAP explanations
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Machine learning-based approach to the diagnosis of cardiovascular vascular disease using a combined dataset
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Machine learning-based prediction of low-value care for hospitalized patients
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Machine learning classification of vitamin D levels in spondyloarthritis patients
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Machine-learning-enabled prognostic models for sepsis
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Machine learning for ambulatory applications of neuropsychological testing
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Machine learning for metabolomics research in drug discovery
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Machine learning models using mobile game play accurately classify children with autism
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Machine learning prediction of Dice similarity coefficient for validation of deformable image registration
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Machine learning's performance in classifying postmenopausal osteoporosis Thai patients
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Machine learning to predict haemorrhage after injury: So many models, so little dynamism
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Malaysian cough sound analysis and COVID-19 classification with deep learning
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Medical image editing in the latent space of Generative Adversarial Networks
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MedTransCluster: Transfer learning for deep medical image clustering
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Mining trauma care flows of patient cohorts
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Model utility of a deep learning-based segmentation is not Dice coefficient dependent: A case study in volumetric brain blood vessel segmentation
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Neural networks for cognitive testing: Cognitive test drawing classification
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New cognitive computational strategy for optimizing brain tumour classification using magnetic resonance imaging Data
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Novel efficient feature selection: Classification of medical and immunotherapy treatments utilising Random Forest and Decision Trees
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Optimal hyperparameter selection of deep learning models for COVID-19 chest X-ray classification
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Optimized deep learning ensemble for accurate oral cancer detection using CNNs and metaheuristic tuning
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Optimizing a de novo artificial intelligence-based medical device under a predetermined change control plan: Improved ability to detect or rule out pediatric autism
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Optimizing hyperparameters for dual-attention network in lung segmentation
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Patent ductus arteriosus (PDA) detection in echocardiograms using deep learning
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Physician documentation matters. Using natural language processing to predict mortality in sepsis
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Physician leadership in the new era of AI and digital health tools
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Predicting ALS progression using Autoregressive deep learning models
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Predicting health-related quality of life change using natural language processing in thyroid cancer
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Predicting Hospital Readmission Risk in Patients with Severe Bronchopulmonary Dysplasia: Exploring the Impact of Neighborhood-Level Social Determinants of Health
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Predicting shunt infection in children with hydrocephalus
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Predicting the effect of Bevacizumab therapy in ovarian cancer from H&E whole slide images using transformer model
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Predicting the prevalence of cardiovascular diseases using machine learning algorithms
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Prediction of Alzheimer's disease from magnetic resonance imaging using a convolutional neural network
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Prediction of skin cancer invasiveness: A comparative study among the regions of Brazil
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Predictive modeling of Alzheimer's disease progression: Integrating temporal clinical factors and outcomes in time series forecasting
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Privacy aspects of direct-to-consumer artificial intelligence/machine learning health apps
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Prognostics for respiratory epidemic dynamics by multivariate gaidai risk assessment methodology
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Progressing microbial genomics: Artificial intelligence and deep learning driven advances in genome analysis and therapeutics
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Prospective clinical evaluation of a machine-learning trained algorithm for detection of arterial pressure transducer drop
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Publishing Artificial Intelligence research papers: A tale of three journals
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Rapid-Motion-Track: Markerless tracking of fast human motion with deep learning
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Real-time artificial intelligence validation of critical view of safety in laparoscopic cholecystectomy
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Reinforcement learning in large, structured action spaces: A simulation study of decision support for spinal cord injury rehabilitation
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Rhi3DGen: Analyzing Rhinophyma using 3D face models and synthetic data
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Sex, ethnicity, and race data are often unreported in artificial intelligence and machine learning studies in medicine
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Skin cancer detection using deep machine learning techniques
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Skin cancer detection using lightweight model souping and ensembling knowledge distillation for memory-constrained devices
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Stratification of keratoconus progression using unsupervised machine learning analysis of tomographical parameters
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Synthea™ Novel coronavirus (COVID-19) model and synthetic data set
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Systematic literature review and meta-analysis for real-world versus clinical validation performance of artificial intelligence applications indicated for ICH and LVO detection
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Temporal convolutional network on Raman shift for human osteoblast cells fingerprint analysis
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Testing the real-world utility of Bayes theorem in artificial intelligence-enabled electrocardiogram algorithm for the detection of left ventricular systolic dysfunction
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The challenges of health inequities and AI
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The ethical considerations including inclusion and biases, data protection, and proper implementation among AI in radiology and potential implications
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The impact of artificial intelligence on large vessel occlusion stroke detection and management: A systematic review meta-analysis
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The trend of artificial intelligence application in medicine and neurology; the state-of-the-art systematic scoping review 2010–2022
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Toward enhanced free-living fall risk assessment: Data mining and deep learning for environment and terrain classification
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Towards a national capability framework for Artificial Intelligence and Digital Medicine tools – A learning needs approach
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Towards automation of transcranial Doppler ultrasound data in pediatric cerebral malaria
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Towards early sepsis detection from measurements at the general ward through deep learning
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Twelve key challenges in medical machine learning and solutions
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Unsupervised learning for county-level typological classification for COVID-19 research
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Using artificial intelligence to risk stratify COVID-19 patients based on chest X-ray findings
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Using big data to predict young adult ischemic vs. non-ischemic heart disease risk factors: An artificial intelligence based model
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Using convolutional network in graphical model detection of autism disorders with fuzzy inference systems
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Using machine learning and clinical registry data to uncover variation in clinical decision making
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VacSIM: Learning effective strategies for COVID-19 vaccine distribution using reinforcement learning
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Validation in the age of machine learning: A framework for describing validation with examples in transcranial magnetic stimulation and deep brain stimulation
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V-NET-VGG16: Hybrid deep learning architecture for optimal segmentation and classification of multi-differentiated liver tumors
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What we talk about when we talk about trust: Theory of trust for AI in healthcare
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Who will stay a little longer? Predicting length of stay in hip and knee arthroplasty patients using machine learning
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Zero-shot learning and its applications from autonomous vehicles to COVID-19 diagnosis: A review
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