Artificial Intelligence Medical Compendium

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

Showing 24,361 to 24,370 of 217,425 articles

AI-based knee osteoarthritis progression prediction: a comprehensive global bibliometric and hotspot evolution analysis (2010-2025).

Knee surgery & related research
BACKGROUND: Knee osteoarthritis (OA) is a leading global cause of disability, yet conventional tools lack sensitivity for early detection and precise prognostication. Artificial intelligence (AI) and machine learning (ML) offer powerful means to enha... read more 

Core competencies of clinical nursing educators in the AI era: a qualitative study.

BMC nursing
BACKGROUND: As artificial intelligence (AI) becomes increasingly integrated into healthcare and nursing education, existing competency standards and training systems for clinical nursing educators are no longer sufficient to meet the demands of techn... read more 

The role of autophagy in ocular health: mechanisms, pathologies, and therapeutic strategies.

Biology direct
Autophagy is a self-digestive process in which cellular components are degraded and recycled to maintain homeostasis and cope with stress. When cells are in a state of stress, autophagy will degrade proteins, lipids and damaged organelles, and conver... read more 

Discovering non-linear dynamics of miRNAs in Alzheimer's disease-related cognitive impairment: a cross-species approach with explainable machine learning.

Biology direct
BACKGROUND: MicroRNA (miRNA) biomarker studies in Alzheimer's disease (AD) typically assume monotonic relationships between expression levels and disease status, overlooking the non-linear, context-dependent nature of miRNA regulatory networks. This ... read more 

Interpretable Deep Survival Analysis of Alzheimer's Disease via Metabolic Genetic Variants.

Bioinformatics (Oxford, England)
BACKGROUND: Alzheimer's disease (AD) is a progressive neurodegenerative disease. Traditional models for estimating AD onset cannot capture nonlinear interactions (epistasis) among the numerous genetic variables that contribute to AD risk. METHODS: We... read more 

From Part to Whole: Advances against Perovskite Phase Segregation in Subcells for Stable Tandem Photovoltaics.

ACS applied materials & interfaces
Wide-bandgap (WBG) lead halide perovskite materials are indispensable top-cell materials for tandem solar cells (TSCs), whose high power-conversion potential, tunable bandgaps, and solution processability dictate the efficiency ceiling and commercial... read more 

DeepTYLCV: An interpretable and experimentally validated AI model for predicting virulence of different tomato yellow leaf curl virus strains.

Plant communications
Tomato yellow leaf curl virus (TYLCV) is among the most devastating pathogens affecting tomato production worldwide, with emerging virulent strains increasingly overcoming genetic resistance and triggering severe outbreaks. Traditional field diagnosi... read more 

Mutational signatures in blood-brain barrier: mechanisms, computational insights, and clinical applications in precision oncology.

Tissue barriers
The blood - brain barrier (BBB) plays a central role in maintaining central nervous system (CNS) homeostasis, and its disruption is a defining feature of malignant brain tumors such as glioblastoma. Emerging evidence indicates that BBB dysfunction no... read more 

A scoping review of quality prescribing indicators, rules and criteria for primary care.

British journal of clinical pharmacology
Medication-related problems (MRPs) place a substantial burden on the healthcare system, contributing to hospital admissions and significant healthcare costs. Quality prescribing indicators (QPIs), rules and criteria serve to educate prescribers about... read more