AI Medical Compendium

Performance of Seven Large Language Models on Anatomy Examination Questions.

Clinical anatomy (New York, N.Y.) Jan 10, 2026

Artificial intelligence is among the most rapidly developing branches of technology. It has proven to be a helpful tool in various fields, including medicine. Significant advances in the development of new language models prompt an evaluation of thei... read more

AI assisted, mentor-guided narrative review writing task for medical students, a novel educational strategy to enhance research and academic writing.

Medical teacher Jan 10, 2026

INTRODUCTION: The integration of artificial intelligence (AI) tools into medical education presents new opportunities for enhancing students' research skills and scientific writing. However, concerns remain about the potential for cognitive disengage... read more

When and how to disclose AI use in academic peer review.

Medical teacher Jan 10, 2026

Using Artificial Intelligence (AI) to review academic papers is happening and cannot be ignored by journals. There is a need to find a balance between outright banning and uncontrolled usage. Medical Teacher recognises this need, and this commentary ... read more

Machine Learning-Based Prediction Model for Delayed Chemotherapy-Induced Nausea and Vomiting in Pediatric Cancer: A Prospective Cohort Study.

Pediatric blood & cancer Jan 10, 2026

BACKGROUND: Delayed chemotherapy-induced nausea and vomiting (CINV) in pediatric oncology patients is currently under-recognized. This study aims to develop, validate, and visualize a machine learning-based model to predict delayed CINV risk in child... read more

Realizing Cocktail Effects in Catalytic High-Entropy Metal-Organic Frameworks (HEMOFs) via Predictive Density of State Calculations.

Angewandte Chemie (International ed. in English) Jan 10, 2026

High-entropy materials, particularly high-entropy metal-organic frameworks (HEMOFs), represent a promising class of catalysts amenable to imparting superior activity via harnessing cocktail effects. However, optimal leveraging of these effects remain... read more

A Novel Acetylcholine Nanosensor for Single Vesicle Storage and Sub-Quantal Exocytosis in Living Neurons and Organoids.

Angewandte Chemie (International ed. in English) Jan 10, 2026

Acetylcholine (ACh) is a critical neurotransmitter that regulates diverse physiological functions, such as cognition and muscle contraction, through synaptic transmission. However, in situ quantitative chemical analysis of single-vesicle storage and ... read more

Curated and Structure-Based Drug-Target Interactions Improve Underprediction of Drug Side Effects in Network Models.

Journal of chemical information and modeling Jan 10, 2026

The accurate prediction of drug-induced side effects remains a significant challenge in pharmaceutical development, particularly in early development, as drug programs often fail due to unforeseen adverse reactions. Conventional approaches, such as p... read more

Utilizing artificial intelligence for the diagnosis of ocular surface squamous neoplasia with ultrasound biomicroscopy images.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Jan 10, 2026

PURPOSE: This study aims to develop an artificial intelligence (AI) model to assist ophthalmologists in distinguishing ocular surface squamous neoplasia (OSSN) from benign ocular surface lesions using ultrasound biomicroscopy (UBM) images. METHODS: D... read more

Subregional Radiomics Analysis on Multiparametric MRI for Evaluating Lymphovascular Invasion and Survival in Gastric Cancer: A Multicenter Study.

Journal of magnetic resonance imaging : JMRI Jan 10, 2026

BACKGROUND: Accurate preoperative assessment of lymphovascular invasion (LVI) remains challenging due to the high heterogeneity of gastric cancer (GC). PURPOSE: To evaluate the feasibility of a subregion-based radiomics model using multiparametric MR... read more

Utilizing Machine Learning for Predicting PrEP Use Status Among Sexual and Gender Minority Young Adults.

Prevention science : the official journal of the Society for Prevention Research Jan 10, 2026

Pre-exposure prophylaxis (PrEP) is a highly effective biomedical prevention tool for HIV yet remains underutilized among key populations, particularly among young sexual and gender minorities (SGM). Recognizing the popularity of specific dating and s... read more

Artificial Intelligence Medical Compendium