Artificial Intelligence Medical Compendium

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

Showing 17,451 to 17,460 of 213,726 articles

Artificial intelligence-generated digital Romberg test for peripheral neuropathy monitoring.

medRxiv
Background and Objectives Patients with peripheral neuropathies (PN) commonly exhibit balance impairment. In clinical practice, balance is typically assessed using the Rombergs test and ataxia scales, which rely on examiner interpretation, while obje... read more 

Predicting the When: Multimodal AI for Time-to-Recurrence Analysis After Atrial Fibrillation Ablation

medRxiv
Background: Catheter ablation is the most effective rhythm control strategy for atrial fibrillation (AF); however, recurrence remains common. Current post-ablation management follows largely population-level protocols, constrained by the absence of t... read more 

Reliable Uncertainty Under Class Imbalance and Distribution Shift: Class-Conditional Conformal Prediction of Multiple Sclerosis

medRxiv
Objectives To evaluate whether class-conditional conformal prediction (CP) can provide reliable uncertainty quantification (UQ) under severe class imbalance and distribution shift, using multiple sclerosis (MS) diagnosis from magnetic resonance imagi... read more 

Asymmetric sociodemographic disparity in evidence-grounded clinical AI

medRxiv
AI-assisted clinical care may compound, rather than correct, existing health inequities. We applied Omar and colleagues' validated four-domain emergency-medicine benchmark to OpenEvidence (OE), a literature-grounded clinical LLM used by tens of thous... read more 

Clinical Safety of AI-Generated Antibiotic Prescribing Advice: Guideline Adherence and Misinformation Risk Among Large Language Models

medRxiv
Background: Large language models (LLMs) are increasingly used in telehealth, but their safety in antibiotic prescribing remains uncertain, particularly in the presence of patient misinformation. Methods: A cross-sectional analytical study evaluated ... read more 

CUOREMA: Immersive Bio & Behavioral Feedback and Digital Interventions for Cardiac Rehabilitation - Exploratory Analysis

medRxiv
Cardiac rehabilitation is critical for secondary prevention, yet long-term adherence remains low. We present CUOREMA, a new personalized mobile health system integrating self-monitoring diaries, wearable data, virtual coaching, and reinforcement lear... read more 

AI predictions and the expansion of scientific frontiers: Evidence from structural biology

bioRxiv
Artificial intelligence holds the potential to expand the frontier of scientific research, yet recent work has raised concern that it may instead narrow scientific attention to well-established areas. Here, leveraging the 2021 release of AlphaFold2 a... read more 

Photodegradation behavior, toxicity assessment, and machine learning model of liquid crystal monomers on soil minerals and soils.

Journal of hazardous materials
Liquid crystal monomers (LCMs) are proposed as persistent, bioaccumulative, and toxic emerging contaminants of global concern; however, their transformation behavior and associated risk in soil have rarely been reported. This study investigates the p... read more 

Electrochemical sensing device based on Cu/PPy heterostructure: Detection of nitrite at low reduction potentials and machine learning-driven data analysis visualisation.

Journal of hazardous materials
To achieve highly selective, low-potential nitrite detection, this study developed a self-supporting sensing electrode based on the synergistic effect of copper and polypyrrole. A Cu/PPy/CC composite electrode was constructed on a carbon cloth substr... read more 

Huoxue Jiedu formula attenuates myocardial ischemia-reperfusion injury by modulating LAPTM4B/mTORC1/TFEB pathway-mediated autophagic flux.

Phytomedicine : international journal of phytotherapy and phytopharmacology
BACKGROUND: Myocardial ischemia-reperfusion injury (MIRI) severely limits the benefits of revascularization in acute myocardial infarction, with impaired autophagic flux being a central pathological mechanism. The Huoxue Jiedu Formula (HXJDF), a trad... read more