Artificial Intelligence Medical Compendium

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

Showing 3,681 to 3,690 of 203,255 articles

Machine-learned dimethyl sulphide (DMS) for the North Atlantic (2002-2024) to support movement studies.

Scientific reports Jun 2, 2026
Dimethyl sulphide (DMS) serves as a key olfactory cue for seabird navigation, yet existing DMS products operate at coarse spatiotemporal resolutions (≥ 25 km, monthly) mismatched to the scales of individual movement decisions. We ask (I) whether mach... read more 

A large-scale vision foundation model for musculoskeletal radiographs.

NPJ digital medicine Jun 2, 2026
Artificial intelligence (AI) has shown promise in detecting and characterizing musculoskeletal diseases from radiographs. However, most existing models remain task-specific, annotation-dependent, and limited in their adaptability across diseases and ... read more 

Human expertise or artificial intelligence? A prospective study on nail disorder diagnosis.

NPJ digital medicine Jun 2, 2026
Artificial intelligence (AI) shows promise in analyzing patterns of nail disease. This prospective, comparative study compared the diagnostic performance of dermatologists with that of large language models (LLMs). We evaluated the diagnostic accurac... read more 

Design of an AI-based security anomaly detection system for IoT terminals based on the ViT-transformer fusion model.

Scientific reports Jun 2, 2026
The deep penetration of IoT terminals in water systems, healthcare, transportation, and other fields has exacerbated security threats such as cyber-physical attacks and traffic anomalies. However, traditional anomaly detection methods have limitation... read more 

A comparison of vendor artificial intelligence solutions for automated post-processing of short-axis cine images in cardiovascular magnetic resonance imaging.

Scientific reports Jun 2, 2026
Automated segmentation of cardiac magnetic resonance (CMR) imaging is integrated into clinical workflows, yet comparative performance across vendor AI solutions remains insufficiently characterized. This study assessed three models (two commercial, o... read more 

Predicting diffusion-FLAIR mismatch from B1000 and ADC without FLAIR: A deep learning-based approach.

Scientific reports Jun 2, 2026
Diffusion-FLAIR mismatch (DFM), defined as the discrepancy between diffusion-weighted imaging (DWI) and FLAIR sequences, is a key imaging biomarker used to identify patients with unclear symptom onset or those likely to benefit from recanalization th... read more 

Modeling the interpretable geometric-performance relationship of metamaterials on small datasets using Kolmogorov-Arnold operator informed network.

Scientific reports Jun 2, 2026
Deep learning has been extensively employed in the prediction of metamaterial properties. However, the multi-layer perceptron-kernelled methods lack interpretability and are highly dependent on large datasets, making the end-to-end mapping opaque and... read more 

Clinical determinants of retinal age gap estimated from fundus photographs in glaucoma patients.

Scientific reports Jun 2, 2026
Retinal age gap (RAG), defined as the difference between artificial intelligence-predicted retinal age and chronological age derived from fundus photographs, has been proposed as a potential biomarker of biological aging; however, the influence of oc... read more 

Uncertainty-aware spatio-temporal contrastive graph neural networks for cyber financial fraud detection and risk management.

Scientific reports Jun 2, 2026
Financial fraud detection requires screening massive transaction networks where evolving topologies, extreme label sparsity, and asymmetric misclassification costs make traditional classification paradigms ineffective. We propose ST-CGNN, a spatio-te... read more 

A Promptable 3D-CT Foundation Model-Based Approach for Pulmonary Embolism.

Cardiovascular and interventional radiology Jun 2, 2026
PURPOSE: Blood clot volume (BCV), defined as the total three-dimensional (3D) volume of the thrombus on computed tomography angiography (CTA), is an objective biomarker of pulmonary embolism (PE) severity whose clinical use is limited by time-consumi... read more 
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