Artificial Intelligence Medical Compendium

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

Showing 16,321 to 16,330 of 213,568 articles

Alignment Between Cardiologists and AI-Driven Diagnostic Systems: Mixed Methods Study.

Journal of medical Internet research May 20, 2026
BACKGROUND: The clinical value of artificial intelligence (AI)-based diagnostic systems depends not only on their accuracy but also on how well their outputs integrate with clinicians' judgments in practice. Critical knowledge gaps remain regarding d... read more 

Development, Feasibility, Acceptability, and Usability of an Artificial Intelligence-Powered Chatbot (Suzy) to Support Patients in Substance Use Disorder Recovery: Multiphase Study.

JMIR formative research May 20, 2026
BACKGROUND: Substance use disorder (SUD) remains a major public health crisis in the United States, with significant challenges in treatment access, retention, and workforce capacity. SUD care teams, including addiction medicine physicians and peer r... read more 

Artificial Intelligence for Materials Science: Transforming Research Paradigms.

Chemical reviews May 20, 2026
The evolution of materials science is undergoing a profound paradigm shift driven by artificial intelligence (AI), transitioning from traditional intuition-driven trial-and-error to an accelerated, data-centric, and algorithmically guided discipline.... read more 

Machine Learning-Based Prediction of NOECs for over 10,000 PFAS across Multiple Fish Species Enables Large-Scale Toxicological Analysis.

Environmental science & technology May 20, 2026
Per- and polyfluoroalkyl substances (PFASs), comprising over 10,000 persistent chemicals, are prevalent in aquatic ecosystems and threaten ecological health. Fish no-observed-effect concentrations (NOECs) are a key ecological safety indicator; howeve... read more 

Predicting Treatment Failure With Sodium-Glucose Cotransporter-2 Inhibitors in People With Type 2 Diabetes: Novel Artificial Intelligence and Machine Learning Approach.

JMIR diabetes May 20, 2026
BACKGROUND: The rate of treatment failure with sodium-glucose cotransporter-2 inhibitors (SGLT2i) is high among individuals with type 2 diabetes (T2D). Accurately predicting SGLT2i treatment failure is important for improving the clinical management ... read more 

Receipt of Medicines Information From the Internet and Other Information Sources Among Adult Medicine Users in Developed Economies, 2010-2025: Systematic Review.

Journal of medical Internet research May 20, 2026
BACKGROUND: The internet, social media, and digital health tools have transformed access and receipt of medicines information (MI), complementing or replacing traditional sources, such as physicians, pharmacists, and package leaflets. OBJECTIVE: This... read more 

Explainable AI in Cancer Imaging: Scoping Review of Methods, Modalities, and Clinical Integration.

Journal of medical Internet research May 20, 2026
BACKGROUND: Explainable artificial intelligence (xAI) is increasingly used in medical imaging to enhance transparency, clinical interpretability, and trust in artificial intelligence (AI)-assisted diagnostics, particularly in oncology. Evidence on ho... read more 

Cross-domain evaluation and fine-tuned adaptation of iCatcher+ for Korean infant gaze data.

Infant behavior & development May 20, 2026
This study evaluates the cross-domain generalisability of three iCatcher+ gaze classification models on a dataset of Korean infants. Applying the pretrained models to the Korean dataset resulted in a substantial decline in accuracy across all models.... read more 

Integration of Artificial Intelligence in Designing Removable Partial Dentures.

International dental journal May 20, 2026
PURPOSE: The integration of artificial intelligence (AI) into prosthodontics represents a paradigm shift in the design and fabrication of removable partial dentures (RPDs). This study evaluates the current AI technologies, including large language mo... read more 

A shallow Bayesian neural network with wavelet transform for impact localization in multi-material plate structures.

Ultrasonics May 20, 2026
Developing impact localization systems that are robust to material variability and computationally efficient remains a significant challenge for resource-constrained and self-powered structural health monitoring (SHM). The application of Bayesian reg... read more 
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