AI Medical Compendium

Detection of rheumatoid arthritis-associated interstitial lung disease: a systematic review and meta-analysis.

BMC pulmonary medicine Jun 22, 2026

BACKGROUND: Rheumatoid arthritis-associated interstitial lung disease (RA-ILD) often has an insidious onset with few or no respiratory symptoms, so early disease may be overlooked. Timely diagnosis and monitoring are therefore crucial. High-resolutio... read more

Sweat and air permeable electronics enabled by engineered hierarchical fabric system for exercise management.

Microsystems & nanoengineering Jun 22, 2026

Scientific exercise monitoring is significant for injury risk prevention and training outcome promotion. Wearable biosensing technologies have emerged as transformative tools for real-time, in-situ physiological state profiling through dynamic biomar... read more

Can large language models generate exam questions comparable to humans? A systematic review and meta-analysis study in medical education.

Medical teacher Jun 21, 2026

INTRODUCTION: Recently developed artificial intelligence (AI), particularly large language models (LLMs), e.g. GPT, streamline the development of multiple-choice questions (MCQs); however, concerns remain about psychometric quality, fairness across l... read more

Global Research Trends and Thematic Evolution in Robotic Surgery for Obstructive Sleep Apnoea: A Bibliometric and Visualisation Study.

Journal of robotic surgery Jun 22, 2026

To systematically identify research trends, collaborative patterns, thematic developments and emerging areas of interest in the field of robotic surgery for the treatment of obstructive sleep apnoea (OSA) worldwide, thereby providing an evidence-base... read more

An interpretable machine learning model for predicting postoperative hypotension in type 2 diabetes mellitus undergoing non‑cardiac surgery.

Cardiovascular diabetology Jun 22, 2026

BACKGROUND: Postoperative hypotension (POH) is a common and serious complication in patients with type 2 diabetes mellitus (T2DM) undergoing non‑cardiac surgery, yet predictive tools tailored to this high‑risk population remain scarce. METHODS: This ... read more

Machine learning-guided risk stratification in elderly AML based on genomic, immunophenotypic and therapeutic profiles.

BMC geriatrics Jun 22, 2026

BACKGROUND: Elderly patients with acute myeloid leukemia (AML) exhibit considerable biological and clinical heterogeneity, hindering precise prognosis. Existing prognostic systems inadequately capture the complexity of elderly AML due to their relian... read more

Patient Trust in AI-generated Medication Information and the Role of Clinical Pharmacists in Preventing Medication-related Safety Risks: A Cross-sectional Survey.

Journal of patient safety Jun 22, 2026

BACKGROUND: To assess patient trust in AI-generated medication information, examine associated behavioral safety risks, and evaluate patient expectations regarding the role of clinical pharmacists in preventing medication-related harm. METHODS: A cro... read more

Charting and Predicting Risk: Artificial Intelligence/Machine Learning Pilot Model for Hospital-Acquired Pressure Injuries.

Journal of nursing care quality Jun 22, 2026

BACKGROUND: Hospital-acquired pressure injuries (HAPIs) are a significant and global adverse event impacting an estimated 2.5 million patients per year, costing from $20 900 to $151 700 per pressure injury. PURPOSE: The purpose of this pilot study wa... read more

RE: Letter to the Editor: Reply to: Performance Assessment of an Artificial Intelligence Chatbot in Clinical Vitreoretinal Scenarios.

Retina (Philadelphia, Pa.) Jun 22, 2026

Contribution of resting pulse rate to fall risk prediction in patients with glaucoma: a nationwide retrospective study based on an XGBoost model.

BMC ophthalmology Jun 21, 2026

BACKGROUND: Falls are among the most common safety concerns in people with visual impairment and can lead to serious consequences, including fractures, prolonged hospitalization, and even death. Patients with glaucoma are at increased risk of falls d... read more

Artificial Intelligence Medical Compendium