Latest AI and machine learning research in ethics for healthcare professionals.
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into healthcare, making AI literacy an essential competency for medical students. Existing assessments are often generic, lack validation in medical education, and are not grounded in learning theory. This study developed and validated the AI Literacy Scale for Medical Students (ALSMS) within a self-determination theory (SDT) fram...
Accurate splice site prediction is fundamental to understanding gene expression and its associated disorders. However, most existing models are biased toward frequent canonical sites, limiting their ability to detect rare but biologically important non-canonical variants. These models often rely heavily on large, imbalanced datasets that fail to capture the sequence diversity of non-canonical site...
Digital health (DH) has emerged as the dominant terminology for technology-enabled healthcare, reshaping institutional discourse, educational programm...
Multi-tiered systems of support for behavior (MTSS-B) is a widely-used tiered preventive intervention currently used in over 25,000 schools across the...
Artificial Intelligence (AI) is reshaping healthcare through data-driven medical technologies. While offering efficiency and personalization, these sy...
Artificial intelligence (AI) is rapidly transforming healthcare but raises ethical concerns. To address these, the French Delegation for Digital Healt...
INTRODUCTION: Artificial Intelligence (AI) is reshaping digital healthcare by advancing disease detection, treatment options, and individualized patie...
Patient-facing artificial intelligence in clinical settings raises distinct ethical challenges that require explicit attention as patients transition ...
BACKGROUND: Artificial intelligence (AI) is increasingly becoming an integral part of everyday life, including in the healthcare sector. When used in ...
The integration of diverse healthcare data into unified data lake infrastructures is a promising way to support research and clinical decision-making....
Clinical narratives contain rich, detailed information that is essential for medical research but often locked behind privacy constraints due to the p...
Health-professions education has moved beyond traditional lecture-based instruction toward competency-based and student-centred learning approaches, s...
This paper argues for the essential role of Participatory Technology Assessment (pTA) in the ethical development of Artificial Intelligence (AI) for s...
INTRODUCTION: Management of cryptoglandular anal fistula is characterised by wide variation in diagnostic strategies, surgical techniques and outcome ...
This work integrates the physics-informed neural network (PINN) approach into the neural quantum state framework to simulate open quantum system dynam...
Over the past two decades, major advances in observational techniques and modeling capabilities have enabled the development of air pollution data fus...
BACKGROUND: Tobacco smoking is a leading cause for lung cancer, even for non-smokers. Assessing exposure, particularly to passive or secondhand smoke,...
BACKGROUND: Peer review is central to maintaining scientific quality and helps editors make decisions. However, the volume of scientific publications ...
The rapid integration of generative artificial intelligence (AI) into academic and professional workflows is reshaping human participants research. Wh...
BACKGROUND: In neuro-oncology, detecting, segmenting, and delineating the boundaries of small-volume brain metastatic foci remains a significant chall...