Artificial Intelligence Medical Compendium

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

Showing 1,351 to 1,360 of 213,568 articles

Regional differences in foveal avascular zone morphology in cynomolgus macaques using a normative OCTA database.

Scientific reports Jul 18, 2026
Cynomolgus macaques are widely used in preclinical ophthalmic research because of their close anatomical and physiological similarity to the human eye. However, the small cohort sizes typical of laboratory studies and the limited implementation of au... read more 

Research landscape of robot-assisted reconstructive and plastic surgery.

NPJ digital medicine Jul 18, 2026
Robot-assisted technologies have progressively transformed plastic and reconstructive surgery by enabling enhanced precision, minimally invasive access, and complex microsurgical reconstruction. Despite increasing clinical adoption, a comprehensive d... read more 

Machine learning-guided dose-time optimization and experimental validation enhance coumarin therapeutics in oncology.

Scientific reports Jul 18, 2026
Coumarins are a group of naturally occurring compounds that have garnered significant interest for their potential anticancer properties, characterized by targeted effects and low toxicity. Despite this promise, the therapeutic application of certain... read more 

SSA(BBO)-optimized neural networks for remaining useful life estimation and health monitoring of lithium-ion batteries.

Scientific reports Jul 18, 2026
Accurate prediction of the remaining useful life (RUL) of lithium-ion batteries is crucial for advancing battery health management, enhancing safety, and improving the efficiency of electric vehicles and energy storage systems. This study introduces ... read more 

Federated graph learning with spatio-temporal dynamics for cross-border recommendation.

Scientific reports Jul 18, 2026
Cross-border data sharing is strictly constrained by privacy regulations, which presents a critical challenge for recommendation systems due to the severe shortage of training data. Existing federated graph neural network methods predominantly rely o... read more 

Causal responsibility based explainable AI for vibrational spectroscopy applied to oral FTIR and oesophageal Raman diagnostics.

Scientific reports Jul 18, 2026
Biomedical applications of vibrational spectroscopy increasingly use deep learning, but these models often give classifications without revealing which spectral features drive their decisions. We introduce Spec-ReX, a causal responsibility-based expl... read more 

Single cell and bulk transcriptomics reveal metabolic reprogramming biomarker signatures during extracorporeal membrane oxygenation for cardiogenic shock.

Scientific reports Jul 18, 2026
Cardiogenic shock (CS) patients receiving extracorporeal membrane oxygenation (ECMO) exhibit profound immune and metabolic disturbances, which may influence early clinical outcomes. However, the transcriptomic features linking metabolic reprogramming... read more 

Integrating chemical priors and physical laws to mitigate hallucinations in structure-based drug design.

Communications chemistry Jul 18, 2026
Generative artificial intelligence has shown great promise in structure-based drug design (SBDD), yet existing models often suffer from a fundamental crisis of "structural hallucinations", generating molecules with high binding scores that violate ba... read more 

Advancing FAIR data towards comparable, organized, predictive AI-ready data for community validation.

Communications biology Jul 18, 2026
The interrogation of data across biological and environmental systems has become increasingly complex. Fortunately, communities are adopting the FAIR (Findable, Accessible, Interoperable, Reusable) data principles for individual datasets, and continu... read more 

Edgeefficient human activity recognition using a quantized patchbased transformer.

Scientific reports Jul 18, 2026
Human Activity Recognition (HAR) systems using deep learning have shown significant promise; however, deploying such models on edge computing systems remains challenging due to constraints in inference latency, memory footprints and computational cap... read more 
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