AI Medical Compendium

The Right Ventricle, the Forgotten Chamber or Not.

Magnetic resonance imaging clinics of North America Mar 6, 2026

Right ventricular (RV) enlargement or dysfunction evaluation is the cornerstone for diagnosis, prognostications, and treatment planning in a variety of cardiovascular conditions. Cardiac MR imaging (CMR) is the superior imaging modality for RV assess... read more

Applications of Generative Artificial Intelligence for Strabismus Surgery Video-Based Education.

Ophthalmology science Mar 6, 2026

OBJECTIVE: To develop educational artificial intelligence (AI)-generated videos for patients undergoing strabismus surgery and assess patient perceptions of these videos. DESIGN: Prospective interventional study. SUBJECTS: Adult patients with strabis... read more

A benchmark dataset for primitive Indian paddy field images with deep learning based classification.

Data in brief Mar 6, 2026

We introduce a primitive Indian paddy field image benchmark dataset and deep-learning-based classification baseline for automated variety identification task. The dataset (sethy, PRABIRA; Pamirelli, Ranjith (2026), "Primitive Indian Paddy On-Field Im... read more

Can automated copy number variation pathogenicity prediction tools replace manual review under the ACMG framework? A clinical validation.

Global medical genetics Mar 6, 2026

BACKGROUND: Copy Number Variation (CNV) is associated with numerous complex diseases, yet their pathogenicity assessment remains heavily dependent on manual expert review, a process that is cumbersome and time-consuming. Although a variety of automat... read more

Retinal photographs to predict life's essential 8 for cardiovascular risk stratification: a novel deep-learning-based tool.

European heart journal. Digital health Mar 6, 2026

AIMS: Both Life's essential 8 (LE8) and retinal photographs are closely related to cardiovascular diseases (CVDs). We aimed to develop a novel deep learning-based tool for CVD risk stratification, termed RetiLE8, by predicting LE8 based on retinal ph... read more

Gut microbial modulation of 3-hydroxyanthranilic acid and dopaminergic signalling influences attention in obesity.

Gut Mar 6, 2026

BACKGROUND: Obesity-related alterations in the gut microbiota have been linked to cognitive decline, yet their relationship with attention remains poorly understood. OBJECTIVE: To evaluate the possible relationships among gut metagenomics, plasma met... read more

Revisiting the social determinants of health with explainable AI: a cross-country perspective.

American journal of epidemiology Mar 5, 2026

In social science and epidemiological research, individual risk factors for mortality are often examined in isolation, while approaches that consider multiple risk factors simultaneously remain less common. Using the Health and Retirement Study in th... read more

Development and validation of case-finding algorithms for identifying patients with systemic lupus erythematosus in an administrative claim database from tertiary care centers in Japan.

Modern rheumatology Mar 5, 2026

OBJECTIVE: To develop and validate algorithms for identifying patients with systemic lupus erythematosus (SLE) in Japanese administrative claims databases from tertiary care centers using statistical and machine learning methods. METHODS: This retros... read more

Improving classification of myocardial infarction with machine learning in a diverse population.

American journal of epidemiology Mar 5, 2026

Phenotype classification with electronic health record (EHR) data is increasingly performed with machine learning (ML); however, their performance in diverse population remains understudied. We compared an international classification of diseases (IC... read more

Medical concept understanding in large language models is fragmented

medRxiv Mar 5, 2026

Large language models (LLMs) perform strongly across a wide range of medical applications, yet it remains unclear whether such success reflects genuine understanding of medical concepts. We present an ontology-grounded, concept-centered evaluation of... read more

health informatics

Artificial Intelligence Medical Compendium