DarkASDNet: Classification of ASD on Functional MRI Using Deep Neural Network.
Ahammed Md Shale et al. Frontiers in neuroinformatics 2021 15635657

Current and emerging artificial intelligence applications for pediatric musculoskeletal radiology.
Offiah Amaka C et al. Pediatric radiology 2021

Seizure detection using wearable sensors and machine learning: Setting a benchmark.
Tang Jianbin et al. Epilepsia 2021

Predicting suicide attempts and suicide deaths among adolescents following outpatient visits.
Penfold Robert B et al. Journal of affective disorders 2021 29439-47

Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review.
Höhn Julia et al. Journal of medical Internet research 2021 23(7) e20708

Artificial Intelligence in Surveillance of Barrett's Esophagus.
Madabhushi Anant et al. Cancer research 2021 81(13) 3446-3448

Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillance.
Sushentsev Nikita et al. European radiology 2021

Development and Evaluation of a Leukemia Diagnosis System Using Deep Learning in Real Clinical Scenarios.
Zhou Min et al. Frontiers in pediatrics 2021 9693676

Automatic Pancreatic Ductal Adenocarcinoma Detection in Whole Slide Images Using Deep Convolutional Neural Networks.
Fu Hao et al. Frontiers in oncology 2021 11665929

The role of AI technology in prediction, diagnosis and treatment of colorectal cancer.
Yu Chaoran et al. Artificial intelligence review 2021 1-21

Machine Learning and Deep Learning in Oncologic Imaging: Potential Hurdles, Opportunities for Improvement, and Solutions-Abdominal Imagers' Perspective.
Yedururi Sireesha et al. Journal of computer assisted tomography 2021

Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy.
Campanella Gabriele et al. The Journal of investigative dermatology 2021

Artificial intelligence for identification and characterization of colonic polyps.
Parsa Nasim et al. Therapeutic advances in gastrointestinal endoscopy 2021 1426317745211014698

Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis.
Nazarian Scarlet et al. Journal of medical Internet research 2021 23(7) e27370

Diagnostic Performance of Artificial Intelligence-Based Models for the Detection of Early Esophageal Cancers in Barret's Esophagus: A Meta-Analysis of Patient-Based Studies.
Bhatti Khalid M et al. Cureus 2021 13(6) e15447

Machine learning for selecting patients with Crohn's disease for abdominopelvic computed tomography in the emergency department.
Konikoff Tom et al. Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver 2021

Heart Rate Variability measured during rest and after orthostatic challenge to detect autonomic dysfunction in Type 2 Diabetes Mellitus using the Classification and Regression Tree model.
Rathod Shashikant et al. Technology and health care : official journal of the European Society for Engineering and Medicine 2021

Machine Learning for Predicting the 3-Year Risk of Incident Diabetes in Chinese Adults.
Wu Yang et al. Frontiers in public health 2021 9626331

Machine learning approaches in predicting ambulatory same day discharge patients after total hip arthroplasty.
Zhong Haoyan et al. Regional anesthesia and pain medicine 2021

Artificial intelligence-based predictions in neovascular age-related macular degeneration.
Ferrara Daniela et al. Current opinion in ophthalmology 2021

Dementia risks identified by vocal features via telephone conversations: A novel machine learning prediction model.
Shimoda Akihiro et al. PloS one 2021 16(7) e0253988

A Real-Time Clinical Decision Support System, for Mild Cognitive Impairment Detection, Based on a Hybrid Neural Architecture.
Suárez-Araujo Carmen Paz et al. Computational and mathematical methods in medicine 2021 20215545297

Ethics of AI in Pathology: Current Paradigms and Emerging Issues.
Chauhan Chhavi et al. The American journal of pathology 2021

Explicability of artificial intelligence in radiology: Is a fifth bioethical principle conceptually necessary?
Ursin Frank et al. Bioethics 2021

Using Artificial Intelligence for High-Volume Identification of Silicosis and Tuberculosis: A Bio-Ethics Approach.
Spiegel Jerry M et al. Annals of global health 2021 87(1) 58

Considerations for the Ethical Implementation of Psychological Assessment Through Social Media via Machine Learning.
Fleming Megan N et al. Ethics & behavior 2021 31(3) 181-192

Clinical Trials and Machine Learning: Regulatory Approach Review.
Dri Diego Alejandro et al. Reviews on recent clinical trials 2021

AI-based clinical decision-making systems in palliative medicine: ethical challenges.
De Panfilis Ludovica et al. BMJ supportive & palliative care 2021

Predicting unsafe driving risk among commercial truck drivers using machine learning: Lessons learned from the surveillance of 20 million driving miles.
Mehdizadeh Amir et al. Accident; analysis and prevention 2021 159106285

Predicting and Responding to Clinical Deterioration in Hospitalized Patients by Using Artificial Intelligence: Protocol for a Mixed Methods, Stepped Wedge Study.
Holdsworth Laura M et al. JMIR research protocols 2021 10(7) e27532

Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study.
Mitra Avijit et al. JMIR medical informatics 2021 9(7) e27527

Medical diagnosis at the point-of-care by portable high-field asymmetric waveform ion mobility spectrometry: A systematic review and meta-analysis.
Zhang J Diana et al. Journal of breath research 2021

Are We Ready to Integrate Artificial Intelligence Literacy into Medical School Curriculum: Students and Faculty Survey.
Wood Elena A et al. Journal of medical education and curricular development 2021 823821205211024078

A smart home dental care system: integration of deep learning, image sensors, and mobile controller.
Kim Dogun et al. Journal of ambient intelligence and humanized computing 2021 1-9

Artificial Intelligence in Orthodontics: Where Are We Now? A Scoping Review.
Monill-González Anna et al. Orthodontics & craniofacial research 2021

Machine Learning and Artificial Intelligence for Surgical Decision Making.
Byerly Saskya et al. Surgical infections 2021 22(6) 626-634

Demystifying Statistical Inference When Using Machine Learning in Causal Research.
Balzer Laura B et al. American journal of epidemiology 2021

A review of the application of machine learning in molecular imaging.
Yin Lin et al. Annals of translational medicine 2021 9(9) 825

The Potential of Digital Phenotyping and Mobile Sensing for Psycho-Diagnostics of Internet Use Disorders.
Montag Christian et al. Current addiction reports 2021 1-9

Smart Healthcare System Based on Cloud-Internet of Things and Deep Learning.
Guo Benzhen et al. Journal of healthcare engineering 2021 20214109102

Application of Machine Learning in Pulmonary Function Assessment Where Are We Now and Where Are We Going?
Giri Paresh C et al. Frontiers in physiology 2021 12678540

Prediction Model Using Machine Learning for Mortality in Patients with Heart Failure.
Negassa Abdissa et al. The American journal of cardiology 2021

Acute Myocardial Infarction Detection Using Deep Learning-Enabled Electrocardiograms.
Chen Xiehui et al. Frontiers in cardiovascular medicine 2021 8654515

Evaluating the association of social needs assessment data with cardiometabolic health status in a federally qualified community health center patient population.
Drake Connor et al. BMC cardiovascular disorders 2021 21(1) 342

The cardiovascular phenotype of Chronic Obstructive Pulmonary Disease (COPD): Applying machine learning to the prediction of cardiovascular comorbidities.
Nikolaou Vasilis et al. Respiratory medicine 2021 186106528

Predicting survival in heart failure: a risk score based on machine-learning and change point algorithm.
Kim Wonse et al. Clinical research in cardiology : official journal of the German Cardiac Society 2021

Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registry.
Rios Richard et al. Cardiovascular research 2021

Predictive Risk Models for Wound Infection-Related Hospitalization or ED Visits in Home Health Care Using Machine-Learning Algorithms.
Song Jiyoun et al. Advances in skin & wound care 2021 34(8) 1-12

Utilizing Big Data analytics and electronic health record data in HIV prevention, treatment, and care research: a literature review.
Qiao Shan et al. AIDS care 2021 1-21

Pregnancy prediction performance of an annotation-free embryo scoring system on the basis of deep learning after single vitrified-warmed blastocyst transfer: a single-center large cohort retrospective study.
Ueno Satoshi et al. Fertility and sterility 2021

A machine learning algorithm can optimize the day of trigger to improve in vitro fertilization outcomes.
Hariton Eduardo et al. Fertility and sterility 2021