Artificial Intelligence Medical Compendium

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

Showing 17,881 to 17,890 of 214,033 articles

Artificial intelligence for left ventricular strain.

Current opinion in cardiology May 15, 2026
PURPOSE OF REVIEW: To review recent advances in artificial intelligence (AI) for left ventricular (LV) strain echocardiography, with emphasis on studies published during the preceding 18 months, and to assess current evidence for measurement performa... read more 

[Research progress in artificial intelligence for the diagnosis and management of diseases in preterm infants].

Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics May 15, 2026
Artificial intelligence (AI) technology is developing rapidly in the medical field, particularly showing significant clinical value in the diagnosis and management of diseases in preterm infants. Preterm infants have immature organ development and a ... read more 

Machine learning analysis of physical factors associated with low back pain in male high school soft tennis players: Emphasis on nondominant hip internal rotation.

Journal of bodywork and movement therapies May 15, 2026
OBJECTIVE: Low back pain (LBP) is common among adolescent racket sport athletes; however, simultaneous assessment of multiple sport-specific physical factors remains limited. This study aimed to identify physical factors associated with LBP in male h... read more 

Leveraging natural language processing artificial intelligence for automated data extraction of ejection fraction and strain from cardiovascular imaging reports.

American heart journal plus : cardiology research and practice May 15, 2026
STUDY OBJECTIVE: To determine the feasibility of using natural language processing (NLP) to extract ejection fraction (EF) and related cardiac imaging parameters for cancer survivors, across multiple imaging modalities, over a 20-year period. DESIGN:... read more 

CRISP: Enhancing ASE Workflows With Advanced Molecular Simulation Post-Processing.

Journal of computational chemistry May 15, 2026
Molecular simulations are invaluable for analysing molecular systems, but existing post-processing tools are often limited by a lack of customization, interactivity, and efficiency with large datasets. To address this, we developed CRISP (Comprehensi... read more 

GMMLP: An Efficient Software for Searching the Global-Minimum of Clusters Accelerated by Using the Machine Learning Potentials.

Journal of computational chemistry May 15, 2026
Searching for the global-minimum (GM) structure of clusters is a fundamental challenge in computational chemistry, as the potential energy surface (PES) of clusters exhibits a vast number of local minima that increase exponentially with cluster size.... read more 

Diffusion-based stimulus optimization reveals functional organization across higher visual cortex

bioRxiv May 15, 2026
Characterizing the fine-grained functional organization of human higher visual cortex remains a central challenge, as traditional neuroimaging experiments constrain the diversity of stimuli that can be sampled. In prior work we addressed this challen... read more 
neuroscience

Benchmarking long-context genome language models on biosynthetic gene clusters

bioRxiv May 15, 2026
Recent advances in language models for natural language processing have spread to the field of genomics, driving the development of genome language models (gLMs) to decipher genomic information. Cutting-edge long-context gLMs are promising approaches... read more 
bioinformatics

Autobehaver: An AI-Based Pipeline for Animal Behavior Analysis

bioRxiv May 15, 2026
Behavior arises from the complex interplay between the nervous system, genetics, and the environment. High-resolution, high-throughput behavioral quantification is essential for dissecting biological function and the effects of genetic perturbation, ... read more 
animal behavior and cognition

Physics-Informed Neural Networks for Parameter Recovery in the Repressilator Oscillatory Model

bioRxiv May 15, 2026
Parameter estimation in nonlinear biological dynamical systems is a difficult inverse problem because the governing equations are often stiff or oscillatory, the data are sparse and noisy, and the objective landscape is non-convex. Physics-informed n... read more 
bioinformatics
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