AI Medical Compendium

Recycled Thermocol Nanofibers Based Smart Triboelectric Nanogenerators for AI-Assisted Switching.

Small (Weinheim an der Bergstrasse, Germany) Feb 18, 2026

The accumulation of non-biodegradable thermocol (expanded polystyrene, EPS) waste presents a critical environmental challenge and an untapped resource for sustainable energy technologies. In this work, we demonstrate a waste-to-functional-material st... read more

Practice Pattern Changes After Adoption Of Diagnostic AI Tool Used In Conjunction With Cardiac Imaging.

Health affairs (Project Hope) Feb 18, 2026

In 2018, Medicare established coverage and reimbursement for its first service using artificial intelligence (AI): computed tomography (CT) fractional flow reserve (FFRCT). FFRCT is used in conjunction with cardiac imaging to diagnose coronary artery... read more

Knowledge-Guided Deep Learning Framework for Source Apportionment and Mitigation of Perchlorate Contamination in River Basins.

Environmental science & technology Feb 18, 2026

Fireworks production leads to severe perchlorate contamination in aquatic systems, yet traditional approaches struggle to resolve the spatially coupled industrial pollution dynamics and governance fragmentation in river basins, fundamentally limiting... read more

Flexible Framework for Surface Hopping: From Hybrid Schemes for Machine Learning to Benchmarkable Nonadiabatic Dynamics.

Journal of chemical theory and computation Feb 18, 2026

Nonadiabatic molecular dynamics is a key technique for investigating a broad range of photochemical and photophysical processes. Among the established approaches, surface hopping schemes are widely used and can be easily integrated with various quant... read more

Developing a Service Quality Index System for AI Health Care Chatbots: Mixed Methods Study.

Journal of medical Internet research Feb 18, 2026

BACKGROUND: Artificial intelligence (AI) health care chatbots are gaining widespread adoption worldwide. It is imperative to understand the service quality of AI health care chatbots. However, there is limited guidance on how to comprehensively evalu... read more

Fine-Tuned Large Language Models for Generating Multiple-Choice Questions in Anesthesiology: Psychometric Comparison With Faculty-Written Items.

JMIR formative research Feb 18, 2026

BACKGROUND: Multiple-choice examinations (MCQs) are widely used in medical education to ensure standardized and objective assessment. Developing high-quality items requires both subject expertise and methodological rigor. Large language models (LLMs)... read more

Insights on Recruitment, Implementation, and Movement Pattern Detection by Exploring the Feasibility of Sensor-Based Insole Technology in Long-Term Care: Mixed Methods Feasibility Study.

JMIR formative research Feb 18, 2026

BACKGROUND: Sensor-based footwear is increasingly discussed as a promising tool for mobility monitoring and fall-risk assessment, yet its applicability in long-term care remains largely unexamined. In particular, little is known about whether such sy... read more

Framing the Convergence of One Health and Digital Health in the Global South With a Gender-Sensitive Foresight Perspective: Delphi Study Using Latent Semantic Analysis.

Journal of medical Internet research Feb 18, 2026

BACKGROUND: The convergence of digital health and One Health represents an emergent paradigm in global health governance. While widely discussed in high-income settings, there is limited understanding of how this convergence is conceptualized in the ... read more

Examining Artificial Intelligence Chatbots' Responses in Providing Human Papillomavirus Vaccine Information for Young Adults: Qualitative Content Analysis.

JMIR public health and surveillance Feb 18, 2026

BACKGROUND: The growing use of artificial intelligence (AI) chatbots for seeking health-related information is concerning, as they were not originally developed for delivering medical guidance. The quality of AI chatbots' responses relies heavily on ... read more

Machine learning and Geographic Information Systems (GIS)-based model for road crash severity prediction and behavioural pattern analysis.

Traffic injury prevention Feb 18, 2026

OBJECTIVES: Road traffic injuries constitute a major public health problem in low- and middle-income countries, including Jordan. This study develops a hybrid machine learning and Geographic Information Systems (GIS)-based framework to predict crash ... read more

Artificial Intelligence Medical Compendium