The value of doubt: training LLMs to consider diagnostic uncertainty may improve clinical utility

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Authors: Margaret Sui, Kyra Rosen, Kimia Heydari, Elizabeth J. Enichen, Joseph C. Kvedar
Cited by: 2
References: 13

Abstract

Physicians often need to make rapid diagnoses based on insufficient data to start treatment and help patients 1 . To prevent medical misdiagnoses and errors, it is important to consider a broad differential of possible disease etiologies, including both likely and “can’t miss” diagnoses. In the process of arriving at a definitive diagnosis, physicians discuss their diagnostic explanations and adhere to clinical guidelines 2 , 3 , 4 , 5 . However, since real-world medical cases often do not cleanly align with clinical guidelines, the probability of each diagnosis needs to be considered.

Fields of Study & Subjects

Clinical Reasoning and Diagnostic Skills Artificial Intelligence in Healthcare and Education Genomics and Rare Diseases

Publication details

Journal / source
npj Digital Medicine
Publisher
Springer Science and Business Media LLC
Volume
9
Issue
1
Pages
141–141
Publication date
10 February 2026
Language
EN