Latest AI and machine learning research in medical education for healthcare professionals.
BACKGROUND: Microlearning has emerged as a flexible, technology-enabled instructional approach in health professions education, yet its longitudinal evolution, collaboration patterns, and thematic development remain underexplored. OBJECTIVE: This study aimed to map publication trends, research impact, collaboration networks, and thematic evolution of microlearning research within health profession...
BACKGROUND: Problem-based learning (PBL) is a well-established approach in medical education. In small groups, students work on real clinical cases with a high level of self-responsibility. Rooted in constructivist learning theory and the Socratic method, PBL promotes active knowledge construction, clinical reasoning, self-directed learning, and motivation. Instructors act as facilitators, guiding...
AIM: The aim of this study was to explore the perspectives of midwifery academics regarding the integration of Artificial Intelligence (AI) into midwi...
INTRODUCTION: Simulation-based education promotes active learning and reflective practice in healthcare education. With the advancement of immersive t...
In Italy, forensic medicine education is traditionally theory-based, which limits students' access to practical experiences due to confidentiality con...
BACKGROUND: Over the past century, medical education has undergone a profound transformation, evolving from unregulated apprenticeships into a highly ...
Radiology reports are the primary product of diagnostic radiology, yet the language in which they are written is rarely taught formally. The differenc...
PROBLEM: Medical student research engagement is increasingly important in residency selection and professional development, yet structured, longitudin...
BACKGROUND: As artificial intelligence (AI) technologies become increasingly embedded in healthcare, the readiness of future physicians to adopt these...
BACKGROUND: Efficient training of reproductive medicine clinicians is critical in the context of declining global fertility and increasing infertility...
The rapid growth of molecular diagnostics, bioinformatics, and artificial intelligence (AI)/machine learning (ML) has transformed laboratory science, ...
BACKGROUND AND INTRODUCTION: Workplace bullying and incivility have continued to escalate across health care and pose serious risks to workforce well-...
BACKGROUND: Generative artificial intelligence (AI) is quickly changing medical education, even as medical students still face high levels of stress, ...
BACKGROUND: Competency-based neurosurgical education requires not only structured assessment but also adaptive learning systems capable of detecting i...
RATIONALE AND OBJECTIVES: Artificial intelligence (AI) is playing an increasingly significant role in radiology While prior studies examined medical s...
Virtual simulation (VS) is pivotal in undergraduate dental education for cognitive and preclinical training. Expanding VS adoption and artificial inte...
BACKGROUND: Surgical education continues to strive to move beyond traditional time-based competency metrics. As gaze behaviors can reflect underlying ...
BACKGROUND: Hand hygiene (HH) is a straightforward yet highly effective preventive measure against healthcare-associated infections; however, global c...
BACKGROUND: Simulation-based training (SBT) in neonatal resuscitation has positive impact on educational and neonatal outcomes. However, the implement...
BACKGROUND: As oncology workflows integrate increasingly autonomous artificial intelligence (AI) agents, health systems face uncertainty regarding ope...