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                             115 gevonden resultaten
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

C p.
artikel
2 Acknowledgments to our reviewers in 2022
C p.
artikel
3 A cortical thinning signature to identify World Trade Center responders with possible dementia Clouston, Sean A.P.

C p.
artikel
4 A critical analysis of COVID-19 research literature: Text mining approach Zengul, Ferhat D.

C p.
artikel
5 Agile clinical research: A data science approach to scrumban in clinical medicine Lei, Howard

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artikel
6 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

C p.
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7 AI in healthcare startups and special challenges Young, Alan S.

C p.
artikel
8 A Machine Learning Algorithm Predicts Duration of hospitalization in COVID-19 patients Ebinger, Joseph

C p.
artikel
9 An automatic early screening system of eye diseases using UWF fundus images based on deep neural networks Wang, Shubin

C p.
artikel
10 An efficient image segmentation scheme for determination of cranial index in scaphocephalic patients Sabeti, M.

C p.
artikel
11 An ensemble approach for multi-stage transfer learning models for COVID-19 detection from chest CT scans Hernández Santa Cruz, Jose Francisco

C p.
artikel
12 A new convolutional neural network-construct for sepsis enhances pattern identification of microcirculatory dysfunction Toledo Ferraz, Carolina

C p.
artikel
13 A new vision of a simple 1D Convolutional Neural Networks (1D-CNN) with Leaky-ReLU function for ECG abnormalities classification Lakhdari, Kheira

C p.
artikel
14 A novel data augmentation approach for mask detection using deep transfer learning Prusty, Manas Ranjan

C p.
artikel
15 An unsupervised deep learning-based image translation method for retrospective motion correction of high resolution kidney MRI Moinian, Shahrzad

C p.
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16 Appropriate use of machine learning in healthcare Ozaydin, Bunyamin

C p.
artikel
17 Artificial Intelligence (AI) to improve chronic pain care: Evidence of AI learning Piette, John D.

C p.
artikel
18 Artificial intelligence and COVID-19: Present state and future vision Chang, Anthony C.

C p.
artikel
19 Artificial intelligence-based rapid on-site cytopathological evaluation for bronchoscopy examinations Ai, Dilbar

C p.
artikel
20 Artificial intelligence-enabled predictive model of progression from moderate to severe aortic stenosis Moualla, Soundos K.

C p.
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21 Artificial intelligence for diagnosis of fractures on plain radiographs: A scoping review of current literature Rainey, Clare

C p.
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22 Artificial Intelligence Improves Readability of Digital Health Records Vien, Peter

C p.
artikel
23 Artificial intelligence in echocardiography to diagnose congenital heart disease and fetal echocardiography Gearhart, Addison

C p.
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24 Artificial intelligence models for predicting cardiovascular diseases in people with type 2 diabetes: A systematic review Wang, Minhong

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artikel
25 Artificial intelligence to assist physicians in identifying patients with severe aortic stenosis Thomas, James D.

C p.
artikel
26 Artificial intelligence viewed through the lens of state regulation TerKonda, Sarvam P.

C p.
artikel
27 Artificial neural network to classify cognitive impairment using gait and clinical variables Zhou, Yuhan

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28 Assessment of patient perceptions of technology and the use of machine-based learning in a clinical encounter Bett, Ean S.

C p.
artikel
29 A super learner ensemble of 14 statistical learning models for predicting COVID-19 severity among patients with cardiovascular conditions Ehwerhemuepha, Louis

C p.
artikel
30 Auto-contouring FDG-PET/MR images for cervical cancer radiation therapy: An intelligent sequential approach using focally trained, shallow U-Nets Baydoun, Atallah

C p.
artikel
31 Automated analysis of ambulatory surgery patient experience comments using artificial intelligence for quality improvement: A patient centered approach Mathur, Piyush

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32 Automated diabetic retinopathy screening for primary care settings using deep learning Bhuiyan, Alauddin

C p.
artikel
33 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.

C p.
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34 Automatic generation of operation notes in endoscopic pituitary surgery videos using workflow recognition Das, Adrito

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artikel
35 Automatic screening for diabetic retinopathy in interracial fundus images using artificial intelligence Katada, Yusaku

C p.
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36 Bridging the divide between data scientists and clinicians Bastian, Grace

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artikel
37 Case study - Feature engineering inspired by domain experts on real world medical data Björneld, Olof

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38 Classification of Cervical Intraepithelial Neoplasia (CIN) using fine-tuned Convolutional Neural Networks Aina, Oluwatomisin E.

C p.
artikel
39 Clinical applications of artificial intelligence and machine learning in the modern cardiac intensive care unit Jentzer, Jacob C.

C p.
artikel
40 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.

C p.
artikel
41 Computer-vision based method for quantifying rising from chair in Parkinson's disease patients Morinan, Gareth

C p.
artikel
42 Computer vision with smartphone microphotography for detection of carious lesions Farook, Taseef Hasan

C p.
artikel
43 COVID-19 pneumonia accurately detected on chest radiographs with artificial intelligence Dorr, Francisco

C p.
artikel
44 Crowd annotations can approximate clinical autism impressions from short home videos with privacy protections Washington, Peter

C p.
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45 Dealing with complexity: How to use a hybrid approach to incorporate complexity in health behavior interventions Mkhitaryan, Samvel

C p.
artikel
46 Decoding ChatGPT: A primer on large language models for clinicians Hunter, R. Brandon

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artikel
47 Deep learning and its role in COVID-19 medical imaging Desai, Sudhen B.

C p.
artikel
48 Deep learning assistance for the histopathologic diagnosis of Helicobacter pylori Zhou, Sharon

C p.
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49 Deep learning-based risk classification and auxiliary diagnosis of macular edema Wu, Tianzhu

C p.
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50 Development of an artificial intelligence model for triage in a military emergency department: Focusing on abdominal pain in soldiers Kim, Yoon-Seop

C p.
artikel
51 DFU_MultiNet: A deep neural network approach for detecting diabetic foot ulcers through multi-scale feature fusion using the DFU dataset Biswas, Shuvo

C p.
artikel
52 Digitizing paper based ECG files to foster deep learning based analysis of existing clinical datasets: An exploratory analysis Adedinsewo, Demilade A.

C p.
artikel
53 Discriminating Acute Respiratory Distress Syndrome from other forms of respiratory failure via iterative machine learning Afshin-Pour, Babak

C p.
artikel
54 Dixon-based thorax synthetic CT generation using Generative Adversarial Network Baydoun, Atallah

C p.
artikel
55 Doxorubicin Efficacy Prediction for Glioblastomas using Deep Learning and Differential Equations Garg, Arnav

C p.
artikel
56 Dual autoencoders modeling of electronic health records for adverse drug event preventability prediction Liao, Wenjun

C p.
artikel
57 Dynamic prediction of mortality in COVID-19 patients in the intensive care unit: A retrospective multi-center cohort study Smit, J.M.

C p.
artikel
58 Early detection of neurological abnormalities using a combined phase space reconstruction and deep learning approach Al Fahoum, Amjed

C p.
artikel
59 Equivalence of pathologists' and rule-based parser's annotations of Dutch pathology reports Burger, Gerard TN.

C p.
artikel
60 Forecasting length of stay: Will it be clear or cloudy today? Deng, Charles

C p.
artikel
61 FuzzyDeepNets based feature extraction for classification of mammograms Dabass, Jyoti

C p.
artikel
62 Glaucoma detection in retinal fundus images using U-Net and supervised machine learning algorithms Shinde, Rutuja

C p.
artikel
63 Harnessing machine learning to support evidence-based medicine: A pragmatic reconciliation framework Abujaber, Ahmad A.

C p.
artikel
64 HeartPredict algorithm: Machine intelligence for the early detection of heart failure Amadou Boubacar, Habiboulaye

C p.
artikel
65 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

C p.
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66 Improved and robust deep learning agent for preliminary detection of diabetic retinopathy using public datasets Saxena, Gaurav

C p.
artikel
67 Integrating unsupervised and supervised learning techniques to predict traumatic brain injury: A population-based study Zulbayar, Suvd

C p.
artikel
68 Integration of a deep learning system for automated chest x-ray interpretation in the emergency department: A proof-of-concept Mosquera, Candelaria

C p.
artikel
69 Intelligence-based medicine: Medici Effect of the modern medical era Chang, Anthony

C p.
artikel
70 Local integration of deep learning for advanced visualization in congenital heart disease surgical planning Nainamalai, Varatharajan

C p.
artikel
71 Machine learning algorithms for classifying corneas by Zernike descriptors del Río, María S.

C p.
artikel
72 Machine learning-based approach to the diagnosis of cardiovascular vascular disease using a combined dataset Mohi Uddin, Khandaker Mohammad

C p.
artikel
73 Machine learning-based prediction of low-value care for hospitalized patients King, Andrew J.

C p.
artikel
74 Machine learning for ambulatory applications of neuropsychological testing Chandler, Chelsea

C p.
artikel
75 Machine learning for metabolomics research in drug discovery Martinelli, Dominic D.

C p.
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76 Machine learning models using mobile game play accurately classify children with autism Deveau, Nicholas

C p.
artikel
77 Machine learning's performance in classifying postmenopausal osteoporosis Thai patients Thawnashom, Kittisak

C p.
artikel
78 Medical image editing in the latent space of Generative Adversarial Networks Fernández Blanco, Rubén

C p.
artikel
79 Model drift: When it can be a sign of success and when it can be an occult problem Carter, Rickey E.

C p.
artikel
80 Model utility of a deep learning-based segmentation is not Dice coefficient dependent: A case study in volumetric brain blood vessel segmentation Alidoost, Mohammadali

C p.
artikel
81 Neural networks for cognitive testing: Cognitive test drawing classification Howard, Calvin W.

C p.
artikel
82 Novel integration of governmental data sources using machine learning to identify super-utilization among U.S. counties Ricket, Iben M.

C p.
artikel
83 Optimal hyperparameter selection of deep learning models for COVID-19 chest X-ray classification Adedigba, Adeyinka P.

C p.
artikel
84 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.

C p.
artikel
85 Outlier-SMOTE: A refined oversampling technique for improved detection of COVID-19 Turlapati, Venkata Pavan Kumar

C p.
artikel
86 Patent ductus arteriosus (PDA) detection in echocardiograms using deep learning Lei, Howard

C p.
artikel
87 Physician documentation matters. Using natural language processing to predict mortality in sepsis Cooley-Rieders, Keaton

C p.
artikel
88 Physician leadership in the new era of AI and digital health tools Ehrenfeld, Jesse

C p.
artikel
89 Predicting health-related quality of life change using natural language processing in thyroid cancer Lian, Ruixue

C p.
artikel
90 Predicting Hospital Readmission Risk in Patients with Severe Bronchopulmonary Dysplasia: Exploring the Impact of Neighborhood-Level Social Determinants of Health Gorham, Tyler

C p.
artikel
91 Predicting prolonged length of stay in patients with traumatic brain injury: A machine learning approach Abujaber, Ahmad

C p.
artikel
92 Predicting shunt infection in children with hydrocephalus Sabeti, M.

C p.
artikel
93 Prediction of Alzheimer's disease from magnetic resonance imaging using a convolutional neural network de Silva, Kevin

C p.
artikel
94 Privacy aspects of direct-to-consumer artificial intelligence/machine learning health apps Gerke, Sara

C p.
artikel
95 Prospective clinical evaluation of a machine-learning trained algorithm for detection of arterial pressure transducer drop Rinehart, Joseph

C p.
artikel
96 Publishing Artificial Intelligence research papers: A tale of three journals Shortliffe, Edward H.

C p.
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97 Rhi3DGen: Analyzing Rhinophyma using 3D face models and synthetic data Mohanty, Anwesha

C p.
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98 Sex, ethnicity, and race data are often unreported in artificial intelligence and machine learning studies in medicine Elmahdy, Mahmoud

C p.
artikel
99 Stratification of keratoconus progression using unsupervised machine learning analysis of tomographical parameters Cao, Ke

C p.
artikel
100 Synthea™ Novel coronavirus (COVID-19) model and synthetic data set Walonoski, Jason

C p.
artikel
101 The challenges of health inequities and AI Moore, Candace Makeda

C p.
artikel
102 The ethical considerations including inclusion and biases, data protection, and proper implementation among AI in radiology and potential implications Martin, Clarissa

C p.
artikel
103 Toward enhanced free-living fall risk assessment: Data mining and deep learning for environment and terrain classification Moore, Jason

C p.
artikel
104 Towards a national capability framework for Artificial Intelligence and Digital Medicine tools – A learning needs approach Abdulhussein, Hatim

C p.
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105 Towards automation of transcranial Doppler ultrasound data in pediatric cerebral malaria Zhang, Bo

C p.
artikel
106 Towards early sepsis detection from measurements at the general ward through deep learning Oei, Sebastiaan P.

C p.
artikel
107 Twelve key challenges in medical machine learning and solutions Ellis, Randall J.

C p.
artikel
108 Unsupervised learning for county-level typological classification for COVID-19 research Lai, Yuan

C p.
artikel
109 Using artificial intelligence to risk stratify COVID-19 patients based on chest X-ray findings Hipolito Canario, Diego A.

C p.
artikel
110 Using machine learning and clinical registry data to uncover variation in clinical decision making James, Charlotte

C p.
artikel
111 VacSIM: Learning effective strategies for COVID-19 vaccine distribution using reinforcement learning Awasthi, Raghav

C p.
artikel
112 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.

C p.
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113 What we talk about when we talk about trust: Theory of trust for AI in healthcare Gille, Felix

C p.
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114 Who will stay a little longer? Predicting length of stay in hip and knee arthroplasty patients using machine learning Langenberger, Benedikt

C p.
artikel
115 Zero-shot learning and its applications from autonomous vehicles to COVID-19 diagnosis: A review Rezaei, Mahdi

C p.
artikel
                             115 gevonden resultaten
 
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