AI Medical Compendium

Development and External Validation of a Large Language Model-Based Clinical Decision Support System for Colonoscopy Surveillance Intervals.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association May 30, 2026

BACKGROUND: Adherence to guideline-based colonoscopy surveillance intervals remains suboptimal. Large language models (LLMs) show promise for automating interval assignment, but prior studies relied on proprietary models and have variably assessed ge... read more

Quality of AI-generated post-operative patient education after minimally invasive gynecologic surgery: A comparative analysis.

Journal of minimally invasive gynecology May 30, 2026

STUDY OBJECTIVE: To compare the quality of AI-generated responses to gynecologic post-operative questions with educational materials published by professional societies. DESIGN: Comparative analysis of published and AI-generated patient education rel... read more

Development of Machine Learning-Driven Dual-Task Gait Test Model for Cognitive Impairment Screening.

Archives of physical medicine and rehabilitation May 30, 2026

OBJECTIVE: To develop an artificial intelligence (AI)-aided dual-task gait test model for scalable, high-throughput cognitive impairment screening. DESIGN: A diagnostic case-control study between 2022 and 2023, community-dwelling adults aged ≥60 year... read more

Frequency-Specific Alterations of Spontaneous Brain Activity in Stroke Patients with Upper Limb Motor Dysfunction: A Multi-Metric rs-fMRI and Machine Learning Study.

Brain research bulletin May 30, 2026

BACKGROUND: Post-stroke upper limb motor dysfunction is associated with complex alterations in brain function, but the frequency-specific characteristics of spontaneous local neural activity remain incompletely understood. This study investigated mul... read more

EEG monitoring in the operating room: current uses and perspectives - a narrative review.

Anaesthesia, critical care & pain medicine May 30, 2026

CONTEXT AND IMPORTANCE: With over 300 million surgeries performed under general anaesthesia annually, optimising perioperative brain health has become a critical public health priority. Electroencephalogram (EEG) monitoring, initially conceived to pr... read more

Does lens opacity matter? The effect of cataract on deep learning based cardiovascular disease risk scores from fundus photos.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) May 30, 2026

PURPOSE: To investigate the effect of cataracts on a deep learning (DL) model for cardiovascular disease (CVD) risk prediction. METHODS: This retrospective, dual-cohort study analyzed fundus images at baseline, 1, and 6-months post-cataract surgery f... read more

Digital and technology-enabled approaches in dietary assessment: addressing bias, error, and feasibility in population- and community-based research.

Advances in nutrition (Bethesda, Md.) May 30, 2026

Dietary intake data are essential for understanding diet-disease relationships, informing policy, and evaluating nutrition interventions. This is particularly challenging in population-and community-based research, where varying dietary patterns, mot... read more

AI-enhanced cardiac digital twins extend drug proarrhythmic risk assessment through experimental data uncertainty propagation and overdose exploration: A loperamide case study.

Regulatory toxicology and pharmacology : RTP May 30, 2026

Drug-induced QT interval prolongation is a key biomarker of proarrhythmic risk and central to drug cardiac safety evaluation alongside in vitro assays and animal studies, yet current preclinical frameworks provide limited insight into how experimenta... read more

A Nonlinear Multi-Objective Prediction Strategy for Small-Sample Datasets in Homogeneous Catalysis.

Journal of computational chemistry May 30, 2026

The development of homogeneous catalytic reactions is hindered by the resource-intensive nature of traditional experimental and computational methods, particularly when dealing with small, sparse datasets and complex multi-objective optimization. Whi... read more

Predicting the Host-Guest Binding Gibbs Free Energy for Anion Guests.