Back to search

Article

A Novel Framework for Evaluating the Clinical Reasoning Process of Large Language Models: A Comparative Study in Nephrology

2025-09-07

Abstract excerpt

Although interest in the application of large language models (LLMs) in medicine is growing, accuracy evaluations have largely relied on static knowledge tests. However, discussions on clinical reasoning, the process most critical to real-world practice, remain limited. In this study, we propose a novel framework to evaluate not the final diagnosis generated by AI, but the reasoning process itself. This study prop...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
9e71634d-20f9-5869-86ce-37cb96212857
DOI
10.1101/2025.09.04.25334460
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A Novel Framework for Evaluating the Clinical Reasoning Process of Large Language Models: A Comparative Study in NephrologyDOI 10.1101/2025.09.04.25334460
Select a neighboring publication to make it the new centre.