医学
供应
代理(哲学)
计算机科学
社会科学
电信
社会学
作者
Nigam H. Shah,David A. Entwistle,Michael Pfeffer
出处
期刊:JAMA
[American Medical Association]
日期:2023-09-05
卷期号:330 (9): 866-866
被引量:63
标识
DOI:10.1001/jama.2023.14217
摘要
There is increased interest in and potential benefits from using large language models (LLMs) in medicine. However, by simply wondering how the LLMs and the applications powered by them will reshape medicine instead of getting actively involved, the agency in shaping how these tools can be used in medicine is lost.Applications powered by LLMs are increasingly used to perform medical tasks without the underlying language model being trained on medical records and without verifying their purported benefit in performing those tasks.The creation and use of LLMs in medicine need to be actively shaped by provisioning relevant training data, specifying the desired benefits, and evaluating the benefits via testing in real-world deployments.
科研通智能强力驱动
Strongly Powered by AbleSci AI