Back to search

Article

Modern Artificial Intelligence and Large Language Models in Graduate Medical Education: A Scoping Review of Attitudes, Applications & Practice

2024-12-17

Abstract excerpt

<title>Abstract</title> <p><bold>Background</bold> Artificial intelligence (AI) holds transformative potential for graduate medical education (GME), yet, a comprehensive exploration of AI's applications, perceptions, and limitations in GME is lacking. <bold>Objective</bold> To map the current literature on AI in GME, identifying prevailing perceptions, applications, and research gaps to inform future research, po...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
0cc139cd-0b69-5df1-acde-068d6c7d09b2
DOI
10.21203/rs.3.rs-5193696/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Modern Artificial Intelligence and Large Language Models in Graduate Medical Education: A Scoping Review of Attitudes, Applications &amp; PracticeDOI 10.21203/rs.3.rs-5193696/v1
Artificial Intelligence in Medical Education: Current Applications and a Proposed Comprehensive Integration FrameworkSemantic proximity
Artificial intelligence use, perceptions, and educational needs among medical undergraduates at a Sri Lankan medical faculty: A cross-sectional surveySemantic proximity
Bridging the AI Gap in Medical Education: The Current Landscape and Proposed Tiered FrameworkSemantic proximity
A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future DirectionsSemantic proximity
Awareness and Attitudes of Radiology Staff Toward Artificial Intelligence in Medical Imaging Diagnosis: A Systematic ReviewSemantic proximity
Perception and Practices of Artificial Intelligence for Medical Education Among Medical Students: A Cross-Sectional StudySemantic proximity
Current status of artificial intelligence utilization in medical education: A cross-sectional survey of medical students and facultySemantic proximity
Assessing the level of readiness for digital transformation in medicine: Students of Ahvaz Jundishapur University of Medical Sciences for the use of artificial intelligence in healthSemantic proximity
A pioneering faculty training program for artificial intelligence in Ukrainian medical educationSemantic proximity
Artificial Intelligence - Large Language Models (LLMs) and Agentic AI in Clinical Decision Support in Outpatient, General Practice and Acute Settings: A Systematic Review of Diagnostic Accuracy, Comparative Efficacy, Clinical Outcomes and Implementation FactorsSemantic proximity
Attitudes and Readiness of Medical Students in Iraq towards Artificial Intelligence: A Cross-Sectional Study.Semantic proximity
Attitude, awareness, and understanding of Artificial Intelligence AI among medical and dental students in Jordan: a cross-sectional studySemantic proximity
Select a neighboring publication to make it the new centre.