Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1 to 10 of 217,176 articles

Prehospital Injury Severity Estimate (PHISE) matches in-hospital trauma scores when embedded in AI models.

NPJ digital medicine Aug 7, 2026
Trauma severity scores such as the Injury Severity Score (ISS) and New Injury Severity Score (NISS) are widely used for trauma benchmarking, risk stratification and outcome prediction, but rely on diagnostic imaging unavailable in the prehospital set... read more 

Machine Learning Prediction of First Suicide Attempts in Early Adolescence Among Child Ideators.

Journal of the American Academy of Child and Adolescent Psychiatry Aug 6, 2026
OBJECTIVE: Identifying those at highest risk of making a first suicide attempt during adolescence is crucial to inform early suicide prevention. Our study aimed to predict the first ideation-to-attempt transition during adolescence among children wit... read more 

Intelligent malware detection on Android smartphones via a hybrid approach using gradient boosting and convolutional neural network.

Scientific reports Aug 6, 2026
Malware is malicious software that infiltrates systems without user consent. Effective detection involves identifying such software and distinguishing it from benign programs. While machine learning has shown promise in malware detection, many existi... read more 

Predicting Readmissions or Post-Discharge Mortality After Cardiac Surgery with Machine Learning Using an Australian Database.

Heart, lung & circulation Aug 6, 2026
AIM: This study aimed to create machine learning algorithms using the Australian & New Zealand Society of Cardiac & Thoracic Surgeons (ANZSCTS) Database that can predict readmissions or post-discharge mortality within 30 days of cardiac surgery. METH... read more 

Machine Learning Prediction of First Suicide Attempts in Early Adolescence Among Child Ideators.

Journal of the American Academy of Child and Adolescent Psychiatry Aug 6, 2026
OBJECTIVE: Identifying those at highest risk of making a first suicide attempt during adolescence is crucial to inform early suicide prevention. Our study aimed to predict the first ideation-to-attempt transition during adolescence among children wit... read more 

10 Years of the National Echo Database of Australia (NEDA): A Nationwide Research Platform Designed for Collaboration.

Heart, lung & circulation Aug 6, 2026
This review discusses the achievements of the National Echo Database of Australia (NEDA), a unique Australian resource facilitated by a collaborative nationwide approach and a common purpose to improve understanding of heart diseases through the gath... read more 

10 Years of the National Echo Database of Australia (NEDA): A Nationwide Research Platform Designed for Collaboration.

Heart, lung & circulation Aug 6, 2026
This review discusses the achievements of the National Echo Database of Australia (NEDA), a unique Australian resource facilitated by a collaborative nationwide approach and a common purpose to improve understanding of heart diseases through the gath... read more 

Prediction of Incident Atrial Fibrillation and Association With Outcomes Using Routine Electronic Health Records in a Western Pacific Population.

Heart, lung & circulation Aug 6, 2026
BACKGROUND AND AIM: Atrial fibrillation (AF) affects over 37 million people internationally and confers increased risk of cardiovascular conditions. Prediction algorithms have attempted to predict incident AF, but other cardio-renal diseases could al... read more 

Accuracy, Completeness, and Clarity of an AI-Based Chatbot for the EAU Neuro-Urology Guidelines.

European urology focus Aug 6, 2026
This study aimed to externally validate the performance of the European Association of Urology (EAU) Guidelines Bot in neuro-urology by assessing the accuracy, completeness, and clarity of chatbot-generated answers to guideline-based questions and to... read more 

Explainable temporal machine learning of multimorbidity trajectories after acute myocardial infarction: complementing clinical risk scores with mechanistic phenotypes.

Journal of the American Medical Informatics Association : JAMIA Aug 6, 2026
OBJECTIVE: This study aimed to identify trajectories of multimorbidity following acute myocardial infarction (AMI), using explainable temporal machine-learning methods, and assess their clinical, prognostic, and biological significance. MATERIALS AND... read more 
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