Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 221,422 articles

Machine Learning-Driven Risk Prediction Model in Transthyretin Amyloid Cardiomyopathy.

JAMA cardiology Aug 28, 2026
IMPORTANCE: Transthyretin cardiac amyloidosis (ATTR-CM) is associated with poor prognosis and significant morbidity and mortality, yet existing staging systems have limited ability to accurately predict outcomes in contemporary patient populations. O... read more 

Artificial Intelligence-Enabled Acquisition and Interpretation for Screening Aortic Stenosis.

JAMA cardiology Aug 28, 2026
IMPORTANCE: Timely identification of aortic stenosis (AS) is essential for appropriate clinical management, yet screening remains limited by dependence on comprehensive echocardiography and trained imaging personnel. OBJECTIVE: To develop and validat... read more 

Emerging technologies in medical physics: the role of artificial intelligence in medical imaging and potential adoption in Ghana.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Aug 28, 2026
BACKGROUND: Ghana's imaging services face rising demand, uneven digital infrastructure, and limited access to advanced modalities. Artificial intelligence (AI) could improve diagnostic accuracy, workflow efficiency, and access, but real-world adoptio... read more 

Machine-Learning-Assisted Impedance Component Analysis Enables Standardizable Surface Protein Analysis of Extracellular Vesicles Using Engineered Nanovesicles.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Aug 29, 2026
Characterizing surface protein heterogeneity on extracellular vesicles remains challenging but essential for understanding their biological functions and clinical applications. Here, this study introduces an integrated platform that combines engineer... read more 

Integrating generative AI into physiotherapy education: students' use, perceptions, and generative AI literacy following curricular adaptations: a repeated cross-sectional programme evaluation.

BMC medical education Aug 28, 2026
BACKGROUND: Structured generative artificial intelligence (GAI) training has been proposed as an effective approach to strengthen healthcare students' confidence in navigating AI-related challenges and ethical considerations. However, few studies hav... read more 

Non-Destructive and High-Fidelity Sensing of Plant Water Content Enabled by Near-Infrared Luminescent Metal Halides.

Advanced materials (Deerfield Beach, Fla.) Aug 28, 2026
Real-time, accurate water monitoring is a crucial technical foundation for industrial, environmental, and biological research. However, traditional detection methods typically include destructive processes and suffer from response delays. Near-infrar... read more 

Integrated multi-omics, machine learning, network toxicology, and molecular docking reveal potential mechanisms underlying methyl 4-hydroxybenzoate-associated breast cancer.

Molecular diversity Aug 28, 2026
Breast cancer (BC) represents a major public-health burden, and epidemiological evidence suggests a potential association with exposure to methyl 4-hydroxybenzoate (MEP), a widely-used cosmetic preservative and estrogen-mimicking endocrine-disrupting... read more 

Integrated multi-omics, machine learning, network toxicology, and molecular docking reveal potential mechanisms underlying methyl 4-hydroxybenzoate-associated breast cancer.

Molecular diversity Aug 28, 2026
Breast cancer (BC) represents a major public-health burden, and epidemiological evidence suggests a potential association with exposure to methyl 4-hydroxybenzoate (MEP), a widely-used cosmetic preservative and estrogen-mimicking endocrine-disrupting... read more 

Diagnostic Performance of Machine Learning Models for Predicting Bloodstream Infections in Large Cohorts: A Systematic Review and Meta-analysis.

Infectious diseases and therapy Aug 28, 2026
INTRODUCTION: Machine learning (ML) models have been increasingly applied to support the diagnosis of bloodstream infections (BSI), particularly through the analysis of large routinely collected healthcare datasets. However, it remains uncertain whet... read more 

Active Learning-Accelerated Discovery of Antifungal Polymers With Self-Assembly Capacity for Tackling Invasive Fungal Diseases.

Angewandte Chemie (International ed. in English) Aug 28, 2026
Invasive fungal diseases (IFD) are life-threatening infections with limited clinical management. Antifungal peptide (AFP)-mimicking polymers are promising candidates for tackling IFD. However, due to the structural diversity of polymers, it remains a... read more 
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