Back to search

Article

High Concordance Between GPT-4o and Multidisciplinary Tumor Board Decisions in Breast Cancer: A Retrospective Decision Support Analysis

2025-06-13

Abstract excerpt

<title>Abstract</title> <p><bold>Background:</bold> Large language models (LLMs) such as ChatGPT have gained attention for their potential to assist clinical decision-making in oncology. However, real-world validation of these models against multidisciplinary tumor board (MTB) recommendations—particularly in breast cancer treatment—remains limited. <bold>Methods:</bold> This retrospective study assessed the conco...

Topics

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

Identifiers and source

Literature Corpus work
debe46e8-c4a4-5d4f-9c26-f14c4b422789
DOI
10.21203/rs.3.rs-6812005/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.
High Concordance Between GPT-4o and Multidisciplinary Tumor Board Decisions in Breast Cancer: A Retrospective Decision Support AnalysisDOI 10.21203/rs.3.rs-6812005/v1
Select a neighboring publication to make it the new centre.