Artificial Intelligence Medical Compendium

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

Showing 2,841 to 2,850 of 235,381 articles

Hydrogen isotopes reveal water leakage from the core.

Science advances
Chemical heterogeneities in Earth's deep mantle may record either preserved primordial reservoirs or later core-mantle exchange, but distinguishing between these origins remains challenging. Hydrogen isotopes offer a sensitive tracer, yet whether mag... read more 

A Human-Centered Framework to Capture the Holistic Pain Story in Chronic Pain: Protocol for a Multicenter Observational Feasibility Study.

JMIR research protocols
BACKGROUND: Standardized metrics such as the numeric rating scale (NRS) provide essential quantitative pain benchmarks but can be augmented by capturing the functional and emotional context of a patient's lived experience. Adding surveys creates a "c... read more 

Dose-response effects of robot-assisted training on poststroke functional recovery: A systematic review and meta-analysis.

Medicine
BACKGROUND: Robot-assisted training (RAT) is widely used in poststroke rehabilitation, but the relationship between training dose and functional recovery remains unclear. This review evaluated the effectiveness of RAT and examined dose-effect relatio... read more 

From medical to pedagogical care: A bibliometric review of AI agent research in education.

Medicine
BACKGROUND: The integration of artificial intelligence (AI) agents, including chatbots and virtual tutors, into education has expanded rapidly; however, systematic quantitative analysis of research trends in this field remains limited. Notably, the i... read more 

Development of a machine learning-based predictive model for feeding intolerance risk in preterm infants: A prospective cohort study.

Medicine
Feeding intolerance (FI) is a common complication in premature infants, often resulting in delayed achievement of full enteral feeding and prolonged hospitalization. This study aimed to construct an interpretable risk-prediction model for FI using ma... read more 

Mapping mitochondria-associated research in inflammatory bowel disease: A bibliometric and network analysis.

Medicine
BACKGROUND: Mitochondria-associated research has become increasingly prominent in inflammatory bowel disease (IBD), but its publication growth, collaboration structure, knowledge base, and thematic evolution have not been comprehensively quantified. ... read more 

Revealing the toxicological effects and mechanisms of tris(1-chloro-2-propyl) phosphate exposure on osteoarthritis based on network toxicology, machine learning, and molecular docking.

Medicine
Osteoarthritis (OA) is a degenerative disease affecting all joints in the body, impacting over 500 million people globally and imposing a significant healthcare burden. Tris(1-chloro-2-propyl) phosphate (TCPP), one of the widely used organophosphate ... read more 

Accounting for the Unaccounted in AI and Care: Bringing Young Carers into the AI Realm.

Journal of medical Internet research
This position paper introduces young carers as a key stakeholder within AI. Research on AI for health care endeavors to assist and optimize current health care services; yet, young carers have been neglected thus far. Accordingly, this paper situates... read more 

Integrating Artificial Intelligence Into Nursing Care Planning: A Comparative Evaluation of Psychosocial Care for Patients With a Stoma.

Computers, informatics, nursing : CIN
This methodological study evaluated and compared the content quality and appropriateness of nursing care plans developed by nurses and artificial intelligence (AI) for addressing the psychosocial problems of patients with stomas. Two nursing care pla... read more 

Roadmap to Fully Closing the Loop to Optimize Health in Type 1 Diabetes.

Diabetes technology & therapeutics
OBJECTIVE: Current commercially available automated insulin delivery systems require meal and exercise announcements for optimal function, placing them in the hybrid closed loop category. Ongoing advancements aim to establish fully closed loop (FCL) ... read more