AI Medical Compendium

ConforFold recovers alternative protein conformations beyond MSA subsampling.

Protein science : a publication of the Protein Society May 1, 2026

Conformational changes underlie many aspects of protein function, yet current structure prediction tools remain limited in their ability to systematically sample structural ensembles. Here, we present ConforPSSP and ConforFold, a combined framework t... read more

A Comparative Analysis of Deep Convolutional Networks for Automated Diagnosis of Retinal Detachment in Dogs.

Veterinary ophthalmology May 1, 2026

OBJECTIVE: To compare ImageNet-pretrained deep convolutional neural networks for automated detection of retinal detachment (RD) in canine fundus photographs. ANIMALS STUDIED: Archived fundus images from 275 dogs. PROCEDURES: In this multicenter retro... read more

Identification of Hepatic Fibrosis and Steatosis via A Point-of-Care Transient Elastography System With Integrated AI.

Liver international : official journal of the International Association for the Study of the Liver May 1, 2026

BACKGROUND & AIMS: Transient elastography (TE) is routinely undertaken for non-invasive assessment of liver fibrosis and steatosis, but is limited by its bulky design, inadequate imaging guidance and conventional algorithmic framework. Thus, we repor... read more

Q-MRS: Quantitative Magnetic Resonance Spectral Analysis Using Deep Learning.

NMR in biomedicine May 1, 2026

Quantification of magnetic resonance spectroscopy (MRS) data using linear combination modeling (LCM) is challenging, partly due to the large number of spectral parameters to be estimated. Popular conventional LCM approaches often place soft constrain... read more

Making Sense of Shoulder Exercise: Measuring the Accuracy of an Artificial Intelligence Model to Classify Shoulder Exercise via Wearable Sensors Among People With and Without Rotator Cuff Tendinopathy.

European journal of sport science May 1, 2026

This study aimed to compare the accuracy of machine learning classification for three commonly prescribed shoulder exercises in people with and without rotator cuff tendinopathy. Eighteen participants with rotator cuff tendinopathy (mean age 54.2, SD... read more

Influencing Officials' Adoption of AI for Risk Decision-Making: An Experimental Study in Emergency Contexts.

Risk analysis : an official publication of the Society for Risk Analysis May 1, 2026

As artificial intelligence (AI) becomes more integrated into public decision-making, its anthropomorphic features raise new questions about trust, accountability, and risk in high-stakes emergency contexts. Existing research highlights the importance... read more

The evolving landscape of molecular visualization.

Protein science : a publication of the Protein Society May 1, 2026

Molecular visualization plays a central role in structural biology, transforming data into representations that reveal how molecular form relates to function. Since the construction of the first protein models in the 1950s, visualization practices ha... read more

The role of artificial intelligence in colonoscopy performance and quality among gastroenterology fellows.

Gastrointestinal endoscopy May 1, 2026

Effects of Different Exercise-Led Strategies on Mental, Nutritional, Physical and Cognitive Health in Community-Dwelling Older Adults: A Quasi-Experimental Study.

International journal of older people nursing May 1, 2026

INTRODUCTION: Exercise interventions are widely used to promote physical and psychosocial health in community-dwelling older adults; however, the comparative effects of human-guided and artificial intelligence (AI)-based exercise delivery on sleep an... read more

Stabilizing Extreme Few-Shot ECG Classification via Self-Supervised Contrastive Pretraining.

Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc May 1, 2026

In clinical electrocardiogram (ECG) analysis, high-quality annotations are expensive and difficult to scale, leaving many tasks in an extreme few-shot learning regime. We formulate a single-label Top-5 rhythm classification task on PTB-XL and strictl... read more

Artificial Intelligence Medical Compendium