Artificial Intelligence Medical Compendium

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

Showing 30,331 to 30,340 of 220,100 articles

In silico virtual knockout identifies PXDNL as a fibroblast-specific driver of sarcopenia and GABA as a potential modulator.

Biochemical and biophysical research communications
Sarcopenia lacks causal mechanisms and translatable targets. We integrated virtual gene knockout with multi-omics (n = 238 biopsies, 5 GEO cohorts) and single-cell RNA-seq (n = 10, 12,847 cells) to identify fibroblast-specific drivers. After ComBat b... read more 

Transformer-based multi-agent traffic simulation for autonomous vehicle testing in shared urban road segments.

Accident; analysis and prevention
Microscopic traffic simulation plays a crucial role in the development and testing of autonomous driving systems. However, accurately reproducing traffic participant behavior in shared urban road segments remains challenging due to their flexible mov... read more 

Deep learning and cryogenic electron microscopy modeling for gene editing dynamics.

Current opinion in structural biology
Advances in cryogenic electron microscopy (cryo-EM) data modeling and deep learning are reshaping our ability to interrogate and engineer genome-editing systems. Their synergistic integration enables high-resolution structural interpretation, quantit... read more 

Personalized weight loss management through wearable devices and artificial intelligence.

Computers in biology and medicine
Early detection of chronic and non-communicable diseases (NCDs) is crucial for effective treatment during the initial stages. This study explores the application of wearable devices and artificial intelligence (AI) to predict weight loss changes in o... read more 

AI-Driven Three-Dimensional Movement Analysis for Objective Assessment of Surgical Expertise in Suturing.

Journal of surgical education
OBJECTIVE: To develop a non-intrusive framework for objective assessment of suturing skill through movement analysis of bilateral hand movements leveraging an artificial intelligence-based markerless tracking to overcome limitations of traditional mo... read more 

To forecast DON concentrations in marginal seas of China by machine learning models.

Marine pollution bulletin
Dissolved organic nitrogen (DON) is a critical yet poorly constrained component of the marine nitrogen cycle. Its quantification is notoriously challenging, as it is conventionally determined by subtracting measured inorganic nitrogen species from to... read more 

When work, study, and AI collide: Cognitive dissonance and emotional regulation in part-time translation master's students.

Acta psychologica
In the era of generative artificial intelligence (AI), translation education is undergoing profound changes, posing new cognitive and emotional challenges for students. This study explored the cognitive dissonance experiences of part-time Master of T... read more 

Understanding the role of AI Chatbots in English self-regulated learning: A dual-stage structural equation modeling and artificial neural network approach.

Acta psychologica
This study examines the constructs that predict Self-Regulated Learning (SRL) in English language learning through AI chatbots among low-achieving undergraduate students, focusing on the roles of social presence, trust in AI, enjoyment, and the Self-... read more 

Screening of molecular signatures from microRNA and mRNA expression profiling related to the efficacy of the antidepressant duloxetine and analysis of their regulatory relationship.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Previous clinical studies have reported that not all depressed patients respond to antidepressants. Therefore, finding potential predictive molecular biomarkers is crucial for providing important guidelines in the diagnosis and treatment of depressio... read more 

A multi-cohort evaluation of a curriculum-aligned, oncology-focused chatbot in pharmacy education.

Currents in pharmacy teaching & learning
INTRODUCTION: Pharmacy students increasingly rely on generative artificial intelligence (AI) for learning support, yet most available tools remain general-purpose models without domain-specific clinical oversight. This multi-cohort study evaluated wh... read more