Latest AI and machine learning research in medical education for healthcare professionals.
CONTEXT: This paper examines how artificial intelligence (AI) is reshaping diagnostic decision-making in academic and clinical head and neck pathology (HNP) and argues for the redefinition of post-doctoral education in the age of AI. PERSPECTIVE: While AI promises enhanced diagnostic accuracy, reproducibility, and efficiency, its integration also amplifies human cognitive biases and introduces new...
BACKGROUND: Applicants participating in the Residency Match generally submit a photograph through the Electronic Residency Application Service (ERAS). Studies demonstrate that subjectively more attractive applicants are more likely to succeed during job recruitment, including a paper related to the Residency Match. OBJECTIVE: This study further investigates the relationship between an applicant's ...
Artificial intelligence (AI) is rapidly reshaping clinical education by embedding assessment and feedback into everyday learning activities. Medical s...
There is a critical need to assess nurse educators' competencies in artificial intelligence (AI), yet no validated assessment tool currently exists to...
Artificial intelligence will spread exponentially and requires compact size and energy efficiency, for which one solution is neuromorphic systems. On ...
Educational institutions increasingly rely on intelligent systems to extract actionable insights from student data. One critical application is the ea...
Automated 12-lead ECG interpretation has achieved strong diagnostic accuracy through deep learning, yet systematic demographic disparities-particularl...
To investigate the effectiveness of a case-based learning (CBL) approach in histology and embryology, integrating instructor-reviewed, AI-assisted cli...
In the critical stage of digital and intelligent transformation of stomatology, artificial intelligence (AI) technology has shown significant advantag...
BACKGROUND: Microlearning has emerged as a flexible, technology-enabled instructional approach in health professions education, yet its longitudinal e...
BACKGROUND: Problem-based learning (PBL) is a well-established approach in medical education. In small groups, students work on real clinical cases wi...
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 ...
Telesurgery integrates artificial intelligence (AI), robotic systems, sensing technologies, and wireless communication to enable remote and computer-a...
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, ...