Identification of key breast features using a neural network: applications of machine learning in the clinical setting of Plastic Surgery.
Nitzan Kenig et al. Plast Reconstr Surg 2023

Performance evaluation of a computer-aided polyp detection system with artificial intelligence for colonoscopy.
Akiko Chino et al. Dig Endosc 2023

Personalized prediction of one-year mental health deterioration using adaptive learning algorithms: a multicenter breast cancer prospective study.
Konstantina Kourou et al. Sci Rep 2023 13(1) 7059

Application of artificial intelligence for improving early detection and prediction of therapeutic outcomes for gastric cancer in the era of precision oncology.
Zhe Wang et al. Semin Cancer Biol 2023

Prediction and Detection of Cervical Malignancy Using Machine Learning Models.
Seeta Devi et al. Asian Pac J Cancer Prev 2023 24(4) 1419-1433

Application of Artificial Intelligence in the Diagnosis, Treatment, and Prognostic Evaluation of Mediastinal Malignant Tumors.
Jiyun Pang et al. J Clin Med 2023 12(8)

Breast Density Evaluation According to BI-RADS 5th Edition on Digital Breast Tomosynthesis: AI Automated Assessment Versus Human Visual Assessment.
Daniele Ugo Tari et al. J Pers Med 2023 13(4)

Artificial intelligence and prediction of cardiometabolic disease: Systematic review of model performance and potential benefits in indigenous populations.
Keunwoo Jeong et al. Artif Intell Med 2023 139102534

Revolutionizing Chronic Kidney Disease Management with Machine Learning and Artificial Intelligence.
Pajaree Krisanapan et al. J Clin Med 2023 12(8)

Ethical Implications of Artificial Intelligence in Population Health and the Public's Role in Its Governance: Perspectives From a Citizen and Expert Panel.
Vincent Couture et al. J Med Internet Res 2023 25e44357

The proposed EU Directives for AI liability leave worrying gaps likely to impact medical AI.
Mindy Nunez Duffourc et al. NPJ Digit Med 2023 6(1) 77

Perspectives of Youths on the Ethical Use of Artificial Intelligence in Health Care Research and Clinical Care.
Kelly Thai et al. JAMA Netw Open 2023 6(5) e2310659

Disclosure control of machine learning models from trusted research environments (TRE): New challenges and opportunities.
Esma Mansouri-Benssassi et al. Heliyon 2023 9(4) e15143

Designing Health Care Artificial Intelligence That Comports With the Values of Patients-Children Are People Whose Voices Must Be Heard.
Debra J H Mathews et al. JAMA Netw Open 2023 6(5) e2310605

Translating AI to Clinical Practice: Overcoming Data Shift with Explainability.
Youngwon Choi et al. Radiographics 2023 43(5) e220105

Self-supervised learning for medical image classification: a systematic review and implementation guidelines.
Shih-Cheng Huang et al. NPJ Digit Med 2023 6(1) 74

Artificial neural network machine learning prediction of the smoking behavior and health risks perception of Indonesian health professionals.
Desy Nuryunarsih et al. Environ Anal Health Toxicol 2023 38(1) e2023003-0

From Big Data's 5Vs to clinical practice's 5Ws: enhancing data-driven decision making in healthcare.
Valentina Bellini et al. J Clin Monit Comput 2023

Implementation of Artificial Intelligence-Assisted Chest X-ray Interpretation: It Is About Time.
Sundaresh Ram et al. Ann Am Thorac Soc 2023 20(5) 641-642

Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment.
Karen Drukker et al. J Med Imaging (Bellingham) 2023 10(6) 061104

Machine learning algorithms assist early evaluation of enteral nutrition in ICU patients.
Ya-Xi Wang et al. Front Nutr 2023 101060398

Can Artificial Intelligence Improve the Readability of Patient Education Materials?
Gregory J Kirchner et al. Clin Orthop Relat Res 2023

Applications of Federated Learning in Mobile Health: Scoping Review.
Tongnian Wang et al. J Med Internet Res 2023 25e43006

Home monitoring in asthma: towards digital twins.
David Drummond et al. Curr Opin Pulm Med 2023

Assessment of the atrial fibrillation burden in Holter electrocardiogram recordings using artificial intelligence.
Elisa Hennings et al. Cardiovasc Digit Health J 2023 4(2) 41-47

Towards more accurate classification of risk of arrest among offenders on community supervision: An application of machine learning versus logistic regression.
Brandy R Maynard et al. Crim Behav Ment Health 2023

Accuracy of Artificial Intelligence-Based Automated Quantitative Coronary Angiography Compared to Intravascular Ultrasound: Retrospective Cohort Study.
In Tae Moon et al. JMIR Cardio 2023 7e45299

Survey and Evaluation of Hypertension Machine Learning Research.
Clea du Toit et al. J Am Heart Assoc 2023 e027896

Deep Learning for Echocardiography: Introduction for Clinicians and Future Vision: State-of-the-Art Review.
Chayakrit Krittanawong et al. Life (Basel) 2023 13(4)

Machine Learning Identifies New Predictors on Restenosis Risk after Coronary Artery Stenting in 10,004 Patients with Surveillance Angiography.
Ulrich Güldener et al. J Clin Med 2023 12(8)

Machine learning links unresolving secondary pneumonia to mortality in patients with severe pneumonia, including COVID-19.
Catherine A Gao et al. J Clin Invest 2023

Advances in Artificial Intelligence for Infectious-Disease Surveillance.
John S Brownstein et al. N Engl J Med 2023 388(17) 1597-1607