Back to search

Article

Hybrid Intelligence in Oncology: Superior Accuracy and Convergence of Large Language Models Over Human Experts in Interpreting

2025-06-04

Abstract excerpt

<title>Abstract</title> <p> <bold>Background:</bold> The interpretation of nuanced recommendations within complex clinical oncology guidelines, such as those for brain metastases, presents persistent challenges for medical experts, potentially impacting treatment consistency. While Large Language Models (LLMs) offer potential decision support, their comparative efficacy in this domain remains underexplored. <b...

Topics

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

Identifiers and source

Literature Corpus work
3f02406e-a3d2-5e7c-89b0-e3f9bb89d8f5
DOI
10.21203/rs.3.rs-6675662/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.
Hybrid Intelligence in Oncology: Superior Accuracy and Convergence of Large Language Models Over Human Experts in InterpretingDOI 10.21203/rs.3.rs-6675662/v1
Select a neighboring publication to make it the new centre.