Artificial Intelligence Medical Compendium

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

Showing 941 to 950 of 213,401 articles

A geospatial machine-learning framework for regional electrification estimation mapping and trend analysis using demographic and infrastructure features.

Scientific reports Jul 20, 2026
Many rural communities in Ethiopia's Amhara region lack electricity access despite substantial urban-rural disparities. Traditional surveys are costly and inconsistent, while Nighttime Light (NTL)-population threshold methods suffer from arbitrary th... read more 

Constructal theory of aerodynamic design in NACA airfoils for search and rescue UAVs using integrated CFD and ANN approaches.

Scientific reports Jul 20, 2026
Constructal design of the NACA (National Advisory Committee for Aeronautics) airfoil was to reduce the drag force and increase the lift force for search and rescue (SAR) missions. This series of NACA airfoils is defined by a 4-digit NACA mptt, which ... read more 

An intelligent approach for automated vehicle damage classification.

Scientific reports Jul 20, 2026
Manual examination using imitative assessment methods requires considerable investment in time, effort, resources, and funds. Furthermore, these assessments often exhibit inconsistencies. Therefore, this study introduces a framework for accurately de... read more 

A time-frequency collaborative cross-device bearing fault diagnosis model based on supervised transfer learning with limited data.

Scientific reports Jul 20, 2026
In recent years, deep learning-based bearing fault diagnosis models have demonstrated excellent diagnostic performance under ideal experimental conditions. However, in practical industrial scenarios, the domain shift problem caused by data distributi... read more 

Deep learning model for predicting fracture redisplacement in conservatively treated distal radius fractures using radiographs: a retrospective cohort study.

Scientific reports Jul 20, 2026
Accurate assessment of redisplacement risk in distal radius fractures during initial treatment is crucial for selecting the optimal management plan. Traditional clinical decision rules have limited predictive performance. Deep learning models have de... read more 

A multimodal evidence-driven framework for clinical decision support in cognitive impairment.

NPJ digital medicine Jul 20, 2026
Deep learning approaches for cognitive impairment diagnosis have shown considerable promise, but their clinical translation remains limited by poor interpretability and weak linkage between model outputs and established medical evidence. Here we deve... read more 

High-performance gas measurement systems-bridging the gap between sensors and analytics.

Analytical and bioanalytical chemistry Jul 20, 2026
In gas measurements, there is inherent competition between sensors and analytical systems, often made difficult by a lack of understanding of approaches and constraints from both sides. This leads to controversies, sometimes simple to avoid or defuse... read more 

Robust Prediction of Drug Interactions using Chemical Descriptors.

NPJ digital medicine Jul 20, 2026
Polypharmacy requires accurate prediction of drug-drug interactions to prevent adverse events, yet existing models often lack reliability and explainability. We propose T-DDI, a descriptor-based deep learning framework for multi-class drug-drug inter... read more 

AI-driven tumor heterogeneity quantification and survival prediction in pancreatic ductal adenocarcinoma.

NPJ digital medicine Jul 20, 2026
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies worldwide, and accurate prognostic prediction remains highly challenging due to its marked biological heterogeneity and complex tumor microenvironment. To address this cha... read more 

Validation of Kawasaki MATCH on a Latin American cohort: application to the REKAMLATINA network.

Pediatric research Jul 20, 2026
IMPACT STATEMENT: Key message: In a large multinational validation study, the Kawasaki MATCH machine-learning clinical decision support tool accurately identified patients with Kawasaki Disease (KD) using data from the REKAMLATINA network. WHAT THIS ... read more 
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