Artificial Intelligence Medical Compendium

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

Showing 9,631 to 9,640 of 208,614 articles

Personalised thrombo-embolic risk prediction after endometrial cancer surgery: an explainable AI approach using SHAP.

NPJ digital medicine May 27, 2026
To address the clinical challenge of postoperative lower extremity deep vein thrombosis (LEDVT) in endometrial cancer care, this study establishes an explainable machine learning framework for personalized risk prediction. Utilizing perioperative dat... read more 

Delta feature and random forest-enhanced LSTM-attention forecasts with probabilistic postprocessing for rainfall forecasting.

Scientific reports May 27, 2026
Reliable rainfall forecasts are crucial for real-time flood control and managing water resources. Advances in deep learning, high-performance computing, and Internet of Things (IoT)-based synoptic measurements are making rainfall predictions increasi... read more 

Reassessing negative 24 h pH impedance tests for hidden gastroesophageal reflux disease using multi feature anomaly detection.

NPJ digital medicine May 27, 2026
Gastroesophageal reflux disease (GERD) diagnosis traditionally relies on acid exposure time (AET) obtained from 24-h multichannel intraluminal impedance-pH (MII-pH) monitoring, the gold standard for GERD diagnosis. However, a negative result (AET < 4... read more 

Association of triglyceride-cholesterol-body weight index with in-hospital mortality in critically ill patients with heart failure.

Scientific reports May 27, 2026
Malnutrition and metabolic abnormalities are common in patients with heart failure (HF) requiring intensive care unit (ICU) admission and are associated with poor outcomes. This study evaluated the association between triglyceride-cholesterol-body we... read more 

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

Communications psychology May 27, 2026
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 May 27, 2026
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 May 27, 2026
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 May 27, 2026
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 

Move over, AlphaFold: open source model predicts shape of 1 billion proteins.

Nature May 27, 2026
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AI FOMO: everyone is mastering AI except me - or are they?

Nature May 27, 2026
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