Artificial Intelligence Medical Compendium

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

Showing 47,861 to 47,870 of 224,199 articles

ChatGPT Health performance in a structured test of triage recommendations.

Nature medicine
ChatGPT Health launched in January 2026 as OpenAI's consumer health tool, reaching millions of users. Here, we conducted a structured stress test of triage recommendations using 60 clinician-authored vignettes across 21 clinical domains under 16 fact... read more 

Brain-inspired energy efficient technologies for next-generation artificial intelligence.

Biological cybernetics
Since the advent of widely accessible AI tools, AI technology has been in high demand by businesses, academic researchers and individuals. Technology companies are building AI infrastructure at a rapid pace, and these facilities consume vast and grow... read more 

Influence of sex differences among endoscopists in gastric cancer and precancerous condition detection rate during EGD in the artificial intelligence era: a retrospective study.

Surgical endoscopy
AIMS: This study investigated whether endoscopist sex is associated with the detection of gastric precancerous conditions and neoplasia during esophagogastroduodenoscopy (EGD), and whether these associations differ with or without artificial intellig... read more 

Design and Preliminary Evaluation of a Smart Orthotic Videogame Controller Dedicated to Children.

Annals of biomedical engineering
This paper describes the development, fabrication and testing of Playcuff, a wearable device designed to act as a videogame controller for children with motor disabilities, which also provides an orthotic action to improve the control of the upper li... read more 

Association of allostatic load index with cognitive impairment in high-risk stroke populations.

BMC geriatrics
BACKGROUND: Chronic psychosocial stress induces cumulative physiological dysregulation that accelerates biological aging and contributes to the development of cerebrovascular and neurocognitive disorders, including stroke and cognitive impairment. Th... read more 

Comparative machine learning models for early prediction of preterm birth from maternal serum biomarkers.

BMC pregnancy and childbirth
BACKGROUND: Preterm birth (PTB) is a major cause of neonatal morbidity and mortality. Inflammation and metabolic disruption are involved in its pathology. This study aimed to assess maternal serum inflammatory and lipid markers as predictors of PTB u... read more