When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior
Shan Chen(Brigham and Women's Hospital), Danielle S. Bitterman(Brigham and Women's Hospital), Thomas Hartvigsen(University of Virginia), Kuleen Sasse(Johns Hopkins University), Mingye Gao(Massachusetts Institute of Technology), Brian Anthony(Massachusetts Institute of Technology), Hugo J.W.L. Aerts(Maastro Clinic), Lizhou Fan(Brigham and Women's Hospital), Jack Gallifant(Harvard University)
Cited by 45
Related Papers
Artificial intelligence in radiation oncology
|Nature Reviews Clinical Oncology|2020|399
The TRIPOD-LLM reporting guideline for studies using large language models
|Nature Medicine|2025|340
Cardiac Radiation Dose, Cardiac Disease, and Mortality in Patients With Lung Cancer
|Journal of the American College of Cardiology|2019|270
Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?
|Radiotherapy and Oncology|2018|252
Large language models to identify social determinants of health in electronic health records
|npj Digital Medicine|2024|249