Artificial Intelligence Medical Compendium

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

Showing 38,411 to 38,420 of 223,469 articles

Etiologic diagnosis of seasonal allergic rhinitis supported by artificial intelligence: the @IT-2020 project.

The Journal of allergy and clinical immunology
BACKGROUND: A precise etiological diagnosis of seasonal allergic rhinitis (SAR) is essential for a tailored prescription of its only curative treatment, allergen-specific immunotherapy (AIT). This is a challenging task in temperate climates, where mo... read more 

Large language models for peer review in biotechnology.

New biotechnology
As researchers use Large Language Models (LLMs) for rapid manuscript feedback, a key question is whether they can function as reliable peer reviewers in biotechnology. This study tested AI peer review using 763 preprints (398 with open peer reviews) ... read more 

Sagittal abdominal diameter and abdominal aortic calcification are associated with incident major adverse cardiovascular events: The Manitoba Bone Density Registry.

Bone
BACKGROUND: Sagittal abdominal diameter (SAD), a measure of visceral adiposity, has been linked to major adverse cardiovascular events (MACE). However, the relationship between SAD and abdominal aortic calcification (AAC), a marker of subclinical vas... read more 

NMRhub: An NMR Data Ecosystem Spanning the Complete Data Lifecycle.

Journal of molecular biology
The emergence of reporting standards represents a tremendous stride toward reproducible science, but significant challenges remain. Preserving data provenance is difficult, from generation through processing and analysis to publication. The accuracy ... read more 

Causal Machine Learning for Personalized Surgical Decision-Making in Aortic Dissection: A National Fairness-Aware Clinical AI Framework.

Annals of vascular surgery
BACKGROUND: Most machine learning models for aortic dissection predict mortality but do not address treatment-effect heterogeneity, fairness, or bedside implementation. We developed a causal-inference-informed framework integrating prediction, hetero... read more 

Mapping AI Teaching Strategies to COEPA as a Framework for Integrating Artificial Intelligence in Pharmacy Education.

American journal of pharmaceutical education
The integration of artificial intelligence (AI) into curriculum and instruction provides a new challenge facing pharmacy educators. This article explores the potential of AI tools, particularly Generative AI (GenAI), to enhance curriculum and instruc... read more 

Beyond Percutaneous Coronary Intervention - Targeted Molecular Therapies for the Next Era of Coronary Care.

The American journal of cardiology
Coronary artery disease (CAD) remains the leading global cause of cardiovascular morbidity and mortality, driven by dysregulated lipid metabolism, chronic vascular inflammation, thrombosis, and genetic susceptibility. Management has long relied on me... read more 

Advanced neuroimaging for central nervous system infections: when, where, how, and why?

Current opinion in infectious diseases
PURPOSE OF REVIEW: Central nervous system (CNS) infections remain a major cause of morbidity and mortality worldwide, particularly in children, older adults, and immunocompromised patients. Timely recognition and classification of CNS infections are ... read more 

Longitudinal dispersion coefficient modeling in natural streams via newly proposed explainable ensemble learning (ExEL) framework.

Journal of contaminant hydrology
Precise estimation of the longitudinal dispersion coefficient (Kₓ) is vital for pollutant transport modeling in rivers. In this study several Machine Learning (ML) models, including Feed Forward Neural Networks (FFNN), Adaptive Neuro-Fuzzy Inference ... read more