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Harnessing the potential of large language models in medical education: promise and pitfalls
80
Zitationen
15
Autoren
2024
Jahr
Abstract
LLMs like OpenAI's ChatGPT can potentially revolutionize traditional teaching methodologies. LLMs offer several potential advantages to students, including direct access to vast information, facilitation of personalized learning experiences, and enhancement of clinical skills development. For faculty and instructors, LLMs can facilitate innovative approaches to teaching complex medical concepts and fostering student engagement. Notable challenges of LLMs integration include the risk of fostering academic misconduct, inadvertent overreliance on AI, potential dilution of critical thinking skills, concerns regarding the accuracy and reliability of LLM-generated content, and the possible implications on teaching staff.
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Autoren
Institutionen
- University of Michigan–Ann Arbor(US)
- Tsinghua University(CN)
- McGill University Health Centre(CA)
- National University of Singapore(SG)
- Duke-NUS Medical School(SG)
- VinUniversity(VN)
- Beihang University(CN)
- Shanghai Jiao Tong University(CN)
- Shanghai First People's Hospital(CN)
- Queen Mary Hospital(CN)
- University of Hong Kong(HK)
- Beijing Tongren Hospital(CN)
- Chinese University of Hong Kong, Shenzhen(CN)
- Singapore National Eye Center(SG)
- Singapore Eye Research Institute(SG)
- Beijing Tsinghua Chang Gung Hospital(CN)