Back to search

Article

Assessing the Limitations of Large Language Models in Clinical Practice Guideline-concordant Treatment Decision-making on Real-world Data

2024-11-23

Abstract excerpt

<h4>Aims</h4> Large Language Models (LLMs) have shown promise in therapeutic decision-making comparable to medical experts, but these studies have used highly curated patient data. The aim of this study was to determine whether LLMs can make guideline-concordant treatment decisions based on patient data as it typically presents in clinical practice. <h4>Methods and Results</h4> We conducted a retrospective study o...

Topics

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

Identifiers and source

Literature Corpus work
f5835812-6d9f-53da-a6cd-916d5f5044fa
DOI
10.1101/2024.11.20.24313385
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.
Assessing the Limitations of Large Language Models in Clinical Practice Guideline-concordant Treatment Decision-making on Real-world DataDOI 10.1101/2024.11.20.24313385
Select a neighboring publication to make it the new centre.