Back to search

Article

Evaluating the Effectiveness and Safety of Large Language Model in Generating Type 2 Diabetes Mellitus Management Plans: A Comparative Study with Medical Experts Based on Real Patient Records

2024-05-22

Abstract excerpt

<h4>Background</h4> The integration of large language models (LLMs) such as GPT-4 into healthcare presents potential benefits and challenges. While LLMs have shown promise in applications ranging from scientific writing to personalized medicine, their practical utility and safety in clinical settings remain under scrutiny. Concerns about accuracy, ethical considerations and bias necessitate rigorous evaluation of...

Topics

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

Identifiers and source

Literature Corpus work
d1c0c829-f24e-519e-84f2-864675118185
DOI
10.1101/2024.05.21.24307700
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.
Evaluating the Effectiveness and Safety of Large Language Model in Generating Type 2 Diabetes Mellitus Management Plans: A Comparative Study with Medical Experts Based on Real Patient RecordsDOI 10.1101/2024.05.21.24307700
Select a neighboring publication to make it the new centre.