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Understanding and training for the impact of large language models and artificial intelligence in healthcare practice: a narrative review
25
Zitationen
11
Autoren
2024
Jahr
Abstract
Reports of Large Language Models (LLMs) passing board examinations have spurred medical enthusiasm for their clinical integration. Through a narrative review, we reflect upon the skill shifts necessary for clinicians to succeed in an LLM-enabled world, achieving benefits while minimizing risks. We suggest how medical education must evolve to prepare clinicians capable of navigating human-AI systems.
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Autoren
Institutionen
- University of Alberta(CA)
- National University of Singapore(SG)
- Essen University Hospital(DE)
- Massachusetts Institute of Technology(US)
- Harvard University(US)
- University of the Philippines Manila(PH)
- Guy's and St Thomas' NHS Foundation Trust(GB)
- Yale University(US)
- Boston Children's Hospital(US)
- Harvard University Press(US)
- Boston Children's Museum(US)
- Beth Israel Deaconess Medical Center(US)
- Emory University(US)