AI Medical Compendium

Insights and Outlook from the First Ethical, Legal, and Social Implication Symposium of the BBMRI-ERIC Academy at International Agency for Research on Cancer/World Health Organization.

Biopreservation and biobanking Aug 19, 2025

The first Biobanking and BioMolecular resources Research Infrastructure-Academy Ethical, Legal, and Social Implications (ELSI)'s Symposium, held in June 2024 at IARC/WHO in Lyon, explored ethical, legal, and societal dimensions of biobanking and biom... read more

Targeting everyday decision makers in research: early career researcher and patient and public involvement and engagement collaboration in an AI-in-healthcare project.

Research involvement and engagement Aug 19, 2025

Patient and Public Involvement and Engagement (PPIE) is critical in the development and application of Artificial Intelligence (AI) in healthcare research to ensure that outcomes align with patients' and the public's needs. However, current PPIE prac... read more

Improving risk stratification of PI-RADS 3 + 1 lesions of the peripheral zone: expert lexicon of terms, multi-reader performance and contribution of artificial intelligence.

Cancer imaging : the official publication of the International Cancer Imaging Society Aug 19, 2025

BACKGROUND: According to PI-RADS v2.1, peripheral PI-RADS 3 lesions are upgraded to PI-RADS 4 if dynamic contrast-enhanced MRI is positive (3+1 lesions), however those lesions are radiologically challenging. We aimed to define criteria by expert cons... read more

Humans Artificial Intelligence Retrospective Studies Aged Male Middle Aged Risk Assessment Magnetic Resonance Imaging Prostatic Neoplasms

ReactionT5: a pre-trained transformer model for accurate chemical reaction prediction with limited data.

Journal of cheminformatics Aug 19, 2025

Accurate chemical reaction prediction is critical for reducing both cost and time in drug development. This study introduces ReactionT5, a transformer-based chemical reaction foundation model pre-trained on the Open Reaction Database-a large publicly... read more

Regulation of biomarker analysis: what can be translated in the clinic?

Expert review of molecular diagnostics Aug 19, 2025

INTRODUCTION: The introduction of biomarkers in precision medicine is heralding a new era of diagnostic power and personalized patient care. Biomarkers are critical tools for detecting various diseases, guiding treatment decisions, and predicting pat... read more

Rethinking anticholinergic burden in older adults: innovative approaches to detection and management.

Expert review of clinical pharmacology Aug 19, 2025

INTRODUCTION: Anticholinergic burden (AChB), the cumulative impact of medications with anticholinergic properties, is a modifiable risk factor linked to cognitive impairment, falls, and functional decline in older adults. Yet despite the availability... read more

Acceptance of AI-Powered Chatbots Among Physiotherapy Students: International Cross-Sectional Study.

JMIR medical education Aug 19, 2025

BACKGROUND: Artificial intelligence-powered chatbots (AI-PCs) are increasingly integrated into educational settings, including health care disciplines. Despite their potential to enhance learning, limited research has investigated physiotherapy (PT) ... read more

Humans Artificial Intelligence Female Young Adult Adult Cross-Sectional Studies Male Students Surveys and Questionnaires Generative Artificial Intelligence Physical Therapy Specialty Students, Health Occupations

A machine learning approach to predict self-efficacy in breast cancer survivors.

BMC medical informatics and decision making Aug 19, 2025

PURPOSE: To determine predictors of self-efficacy in breast cancer survivors and identify vulnerable groups. read more

Humans Machine Learning Female Aged Adult Breast Neoplasms Middle Aged Self Efficacy Turkey Cancer Survivors

Metabolomics and nutrient intake reveal metabolite-nutrient interactions in metabolic syndrome: insights from the Korean Genome and Epidemiology Study.

Nutrition journal Aug 19, 2025

BACKGROUND: Despite advances in metabolomics, the complex relationship between metabolites and nutrient intake in metabolic syndrome (MetS) remains poorly understood in the Korean population. read more

Humans Republic of Korea Female Adult Male Middle Aged Diet Cohort Studies Metabolic Syndrome Metabolomics Nutrients

Developing Predictive Models for Periodontitis Progression Using Artificial Intelligence: A Longitudinal Cohort Study.

Journal of clinical periodontology Aug 19, 2025

AIM: To construct predictive models of periodontitis progression by applying Machine Learning (ML) to baseline data from a study of periodontitis progression. read more

Artificial Intelligence Medical Compendium