default author photo

Kynthia Ravikumar

Imperial College London

South Kensington Campus

Exhibition Road

London, SW7 2AZ

United Kingdom

  • Imperial College London

SCHOLARLY PAPERS

1

DOWNLOADS

32

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

Too Agreeable to Be Accurate? Sycophancy and Diagnostic Instability of Large Language Models in Medical Diagnosis

Number of pages: 21 Posted: 11 May 2026
Christoffer Dharma, Konrad Samsel, Aseel Bahakeen, Kynthia Ravikumar, Venkat Bhat, Amin Kamaleddin and Zahra Shakeri Hossein Abad
McMaster University - Department of Medicine, University of Toronto, University of Toronto, Imperial College London, University of Toronto, University of Toronto and University of Pittsburgh - Department of Biomedical Informatics
Downloads 32 (1,372,601)

Abstract:

Loading...

Artificial intelligence, Large Language Models, medical diagnosis, Clinical decision support, Sycophancy