Artificial Intelligence Medical Compendium

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

Showing 10,341 to 10,350 of 209,311 articles

Learning via short videos impairs memory accuracy and reduces brain synchrony.

Communications psychology
The rapid rise of short videos (SVs), particularly social media-style formats characterized by rapid switching and fragmented content, has led to their increasing integration into learning environments. However, their efficacy and neurocognitive impa... read more 

Deep chemical structure graph learning deciphers the lipotoxicity code of hypertriglyceridemic pancreatitis.

NPJ digital medicine
The discrepancy between serum triglyceride levels and the clinical severity of hyperlipidemic acute pancreatitis (HLAP) complicates risk stratification. Traditional lipidomics, which primarily rely on linear abundance, often fail to distinguish the H... read more 

The solute carrier transporter SLCO5A1 as a novel therapeutic target for the treatment of myocardial infarction-induced heart failure.

Acta pharmacologica Sinica
Heart failure (HF) following myocardial infarction (MI) remains a major threat to health worldwide. While transcriptomics has revealed numerous genes whose expression is altered in HF, distinguishing therapeutic targets remains challenging. In this s... read more 

Advancing radiology foundation models with reasoning through step-by-step verification from daily reports.

Communications medicine
BACKGROUND: Recent advances in reasoning-enhanced large language models (LLMs) and multimodal LLMs (MLLMs) have significantly improved performance in complex tasks, yet medical AI models often overlook the structured reasoning processes inherent in c... read more 

Deep learning of 777 K bulk transcriptomes reveals human-mouse gene conservation beyond DNA sequence similarity.

Communications biology
Mice are widely used as biomedical research models, yet results from mouse gene studies often differ from equivalent studies in humans despite similarities in DNA sequences. Here we show that gene expression patterns provide additional insight into h... read more 

A deep mutational scanning-informed protein language model predicts SARS-CoV-2 evolution dynamics with spatiotemporal resolution.

Nature microbiology
Early identification of emerging dominant variants of pathogens such as SARS-CoV-2 is important for effective public health responses, yet existing approaches are not feasible for real-time surveillance. Here we introduce DeepCoV (DMS-Empowered Evolu... read more 

Incorporating geospatial environmental exposure indicators in individual hypertension risk prediction: a multi-stage machine learning pipeline.

Journal of exposure science & environmental epidemiology
BACKGROUND: Environmental exposures are known contributors to chronic disease but are rarely incorporated into risk prediction models. OBJECTIVE: We demonstrate a staged machine learning approach to incorporating geospatially measured neighborhood so... read more 

Toward trustworthy healthcare AI: designing academic research for translation readiness.

Molecular systems biology
In controlled proof-of-concept studies, healthcare artificial intelligence (AI) systems now routinely match or exceed specialist-level performance. Despite these impressive technical achievements, most systems remain confined to research settings, hi... read more