Work

Fidelity of Medical Reasoning in Large Language Models

Year: 2025

Type: article

Abstract: This cross-sectional study evaluates whether the performance of large language models on medical benchmarks reflects logical reasoning or pattern recognition.

Source: JAMA Network Open

DOI: 10.1001/jamanetworkopen.2025.26021

Authors: Suhana Bedi, Yixing Jiang, Philip Chung, Sanmi Koyejo, Nigam Shah

Institutions: Stanford Medicine, Stanford University

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

Open Access status: gold

Estimated APC paid: $3,000

Funders: National Science Foundation, John D. and Catherine T. MacArthur Foundation, Gordon and Betty Moore Foundation, Institute of Education Sciences

OpenAlex ID: W4413050247

FWCI: 9.386

Cites: 4

Cited by: 46

Related to: 10