Artificial Intelligence Medical Compendium

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

Showing 46,771 to 46,780 of 224,199 articles

Predicting dominant terrestrial biomes at a global scale using machine learning algorithms, climate variable indices, and extreme event indices.

PloS one Feb 26, 2026
Understanding the global distribution of biomes is essential for biodiversity conservation, climate modeling, and land-use planning. Traditional approaches often summarize climate data into indices, and recent models sometimes include extreme events ... read more 

Reimagining care of people living with rare diseases with artificial intelligence.

PLoS medicine Feb 26, 2026
Artificial intelligence (AI) can transform rare disease care when organized around the patient journey. We outline a patient-clinician-AI triad spanning early detection, diagnosis, clinical trials, and individualized therapies. read more 

Development and validation of interpretable multimodal clinical-radiomics models for predicting epileptogenic foci and surgical outcomes in tuberous sclerosis complex: A multicenter study.

PLOS digital health Feb 26, 2026
Precise localization and resection of epileptogenic (epi) foci from multiple cortical foci determine surgical outcomes in the tuberous sclerosis complex (TSC). Although the use of intracranial electroencephalography (EEG) for detecting epileptic disc... read more 

A novel statistical framework for quantifying risks and benefits of AI automation in screening mammography.

PLOS digital health Feb 26, 2026
AI has been proposed as a triage or "rule-out" device to reduce radiologist workload, but it is presently unclear how an AI "rule-out" threshold should be determined. We present a framework for determining an optimal threshold. Using a retrospective ... read more 

Correction: Factors associated with 90-day mortality in Vietnamese stroke patients: Prospective findings compared with explainable machine learning, multicenter study.

PloS one Feb 26, 2026
[This corrects the article DOI: 10.1371/journal.pone.0310522.]. read more 

Interpretable machine learning for chronic kidney disease prediction: Insights from SHAP and LIME analyses.

PloS one Feb 26, 2026
Chronic kidney disease (CKD) is a progressive condition requiring early detection for optimal patient outcomes. This study developed an interpretable machine learning framework using XGBoost with SHapley Additive exPlanations (SHAP) and Local Interpr... read more 

Trends and Research Hotspots in Technology-Enhanced Dental Education: A Bibliometric Analysis.

European journal of dental education : official journal of the Association for Dental Education in Europe Feb 26, 2026
INTRODUCTION: Digital transformation has reshaped dental education over the past decade, driving a shift from traditional, instructor-centred teaching toward technology-driven training. This study aimed to map research hotspots, trends, and conceptua... read more 

A Blinded Analysis of Quality and Fidelity in Orthopaedic Patient Education Materials Simplified by ChatGPT and Humans.

The Journal of bone and joint surgery. American volume Feb 26, 2026
BACKGROUND: Orthopaedic patient education materials (PEMs) within Epic's Elsevier library often exceed the recommended sixth-grade reading level, with a mean grade of 8.6 in English and 5.8 in Spanish, risking poor patient comprehension and adherence... read more 

Zentropy-Enhanced Multigranularity Knowledge Modeling for Robust Feature Selection.

IEEE transactions on cybernetics Feb 26, 2026
Multigranularity knowledge modeling is an influential study for information processing and knowledge discovery in artificial intelligence (AI). A central research focus is the multigranularity representation and learning of knowledge structures. Amon... read more 

Balancing Communication and Acceleration: Exact One-to-One Optimization for Distributed Multiagent Learning Systems.

IEEE transactions on cybernetics Feb 26, 2026
This article investigates optimization-driven learning techniques to address the critical challenge of balancing communication efficiency with convergence acceleration in distributed multiagent systems. While existing accelerated methods typically ne... read more 
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