Back to search

Article

Diagnostic Performance of Large Language Models and Radiologists in Case-Based Radiology Questions

2026-03-13

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> Large language models (LLM) have demonstrated considerable potential in supporting medical decision-making. Until recently, LLM were restricted to text inputs, limiting their utility in image interpretation. The introduction of ChatGPT-4V, with capability of analyzing visual data, has opened new opportunities to evaluate LLM performance in radiological image i...

Topics

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

Identifiers and source

Literature Corpus work
73ad5ef0-6142-5c3f-8bff-d80bb93b6756
DOI
10.21203/rs.3.rs-8618169/v1
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.
Diagnostic Performance of Large Language Models and Radiologists in Case-Based Radiology QuestionsDOI 10.21203/rs.3.rs-8618169/v1
Select a neighboring publication to make it the new centre.