Artificial Intelligence Medical Compendium

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

Showing 10,611 to 10,620 of 209,601 articles

Optimization of attention mechanisms in choral conducting education using EEG and eye movement tracking with transfer learning algorithms.

Scientific reports May 27, 2026
This study presents a comprehensive investigation into attention mechanism optimization in choral conducting education through the integration of electroencephalography (EEG) and eye movement tracking technologies with transfer learning algorithms. T... read more 

Reliability and readability of AI platforms for pediatric health advice: a comparative analysis.

Scientific reports May 27, 2026
Large language models (LLMs) are increasingly used as a first-line source of information for everyday questions, including pediatric health guidance, yet the quality and readability of their outputs remain uncertain. This study aimed to comparatively... read more 

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 

Retinal graph neural network for segmentation of retinal vasculature and foveal avascular zone from OCTA images.

Biomedizinische Technik. Biomedical engineering May 27, 2026
OBJECTIVES: Diabetic Retinopathy (DR) causes major vision loss, requiring precise segmentation of retinal vessels and the Foveal Avascular Zone (FAZ). Accurate structural masks enable quantitative biomarkers that support early diagnosis and long-term... read more 

Deep neural networks to predict foraging behaviour: saltwater immersion data can accurately predict diving in seabirds.

Journal of the Royal Society, Interface May 27, 2026
The accurate identification of foraging locations is critical for wildlife conservation. While remote sensing and biologging devices provide much of the necessary data, their deployment is often complicated by factors such as weight, battery life and... read more 

Perception in action: a robotic system that can teach itself to melodiously play music by ear.

Journal of the Royal Society, Interface May 27, 2026
Learning to imitate nuanced motor behaviour by perceiving someone's actions is a human ability central to non-verbal communication, interaction and collaboration. Despite extensive psychophysics research, robotic systems do not yet seamlessly bridge ... read more 
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