Artificial Intelligence Medical Compendium

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

Showing 37,781 to 37,790 of 223,469 articles

Free energy calculations in molecular modeling: from classical methods to machine learning.

Journal of molecular modeling
CONTEXT: Free energy calculations have evolved from specialized theoretical tools to essential components of modern molecular design, particularly in pharmaceutical research where alchemical binding free energy methods now guide lead optimization dec... read more 

AI-driven appendicular skeletal muscle mass index (ASMI) prediction and low muscle mass detection from routine hip X-rays: a novel opportunistic case finding tool.

European geriatric medicine
PURPOSE: Sarcopenia diagnosis requires identifying low muscle mass (LMM), typically via dual-energy X-ray absorptiometry (DXA). However, DXA's limited accessibility restricts large-scale screening. This retrospective study aimed to develop and valida... read more 

A Segatella Copri-centered Gut Microbiota-mediated Metabolic Dysregulation Associated with Transition from Asymptomatic to Symptomatic Intracranial Atherosclerosis.

Translational stroke research
The mechanisms underlying the continuum from asymptomatic intracranial atherosclerotic stenosis (aICAS) to symptomatic intracranial large-artery atherosclerotic ischemic stroke (iLAA-IS) remain unclear. We investigated the gut microbiota-metabolite a... read more 

A cough sound-based deep learning algorithm for accessible prompt detection of chronic obstructive pulmonary disease with smartphones.

NPJ primary care respiratory medicine
Early COPD diagnosis is vital for effective management, yet conventional tools such as professional spirometers are often inaccessible in resource-limited settings. We present Cough Search, a smartphone-based deep learning algorithm that uses volunta... read more 

Machine learning prediction of discharge destination in patients with Parkinson's disease; a nationwide cohort study.

NPJ Parkinson's disease
Risk stratification during hospitalization may support real-world discharge planning. We developed and validated machine learning models and an interpretable risk score to predict discharge destination among patients hospitalized with Parkinson's dis... read more