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Simulation-Based Education in the Artificial Intelligence Era
Open accessAbstract
Simulation-based medical education (SBME) has been widely implemented in skill training in various clinical specialties. SBME has contributed not only to patient and medical safety but also to undergraduate and specialist education in the healthcare field. In this review, we discuss the challenges and future directions of SBME in the artificial intelligence (AI) era. While SBME fidelity or methods may become highly complicated in the AI era, the fact is that learners play a central role. As SBME and clinical education are complementary, mutual feedback and improvement are essential, especially in non-technical skill development. For the development of sustainable SBME in the clinical field in the AI era, continuous improvement is needed by academia, educators, and learners.
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“Completely replacing traditional instructor-led training with AI carries risks, and further studies thereon are required [13,21].”
From Enhancing Medical Interview Skills Through AI-Simulated Patient Interactions: Nonrandomized Controlled Trial (2024) · cites this paper as [13]
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“However, research integrating LLMs into simulation education remains in its developmental phase [13].”
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Metadata
- Authors
- Komasawa, N., & Yokohira, M.
- Affiliations
- Kagawa University (JP)
- Corresponding author
- Komasawa, Nobuyasu
- Venue
- Cureus
- Published
- 2023-06-25
- Volume
- 15
- Issue
- 6
- Pages
- e40940-e40940
- ISSN
- 2168-8184 (ISSN-L)
- PMC
- PMC10368461
- OpenAlex
- W4381988172
- Cited by
- 64
- References
- 27
- Citations by year
- 2026: 13 · 2025: 24 · 2024: 23 · 2023: 4
- FWCI
- 11.37
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Cureus (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Education › Simulation-Based Education in Healthcare
- Health Sciences › Medicine › Surgery › Surgical Simulation and Training
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- simulation-based medical education, artificial intelligence, clinical skills training, student-centered learning, non-technical skills, simulation fidelity, medical education challenges
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