Artificial Intelligence Medical Compendium

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

Showing 25,721 to 25,730 of 217,759 articles

AI Applications Integrating Legal and Regulatory Perspectives in Mental Health: Systematic Review.

JMIR AI
BACKGROUND: Artificial intelligence (AI) offers new methods to improve diagnosis and treatment in mental health. However, its use raises legal and ethical concerns. OBJECTIVE: AI is increasingly being used for mental health care, but its clinical pro... read more 

A decade of evidence linking gut microbiome dysbiosis to depression: a computational meta-analysis of mechanistic pathways: 2014-2024.

The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry
OBJECTIVES: The gut microbiome-gut-brain axis (MGBA) has been associated in the pathophysiology of depression; however, the expanding literature remains fragmented across metabolic signalling, immune-inflammatory pathways, stress physiology and dysbi... read more 

A Pilot Study Exploring the Use of Generative Artificial Intelligence in Nursing Education.

Nursing education perspectives
In this pilot study, which utilized a pretest/posttest design, baccalaureate nursing students used artificial intelligence to generate a case scenario and nursing care plan and analyzed the content for accuracy, bias, and holistic nursing practices. ... read more 

Toward real-time autonomous navigation: transformer-based catheter tip tracking in fluoroscopy.

International journal of computer assisted radiology and surgery
PURPOSE: Mechanical thrombectomy (MT) improves stroke outcomes, but is limited by a lack of local treatment access. Widespread distribution of reinforcement learning (RL)-based robotic systems can be used to alleviate this challenge through autonomou... read more 

Performance of large language models on the Japanese cardiovascular surgery board examination: a comparative analysis of eight contemporary AI models with educational implications.

General thoracic and cardiovascular surgery
OBJECTIVE: Large language models (LLMs) have shown strong performance on medical licensing and specialty examinations, but their utility in cardiovascular surgery certification and education remains unknown. METHODS: We evaluated eight LLMs (GPT-5, G... read more