Risk of Bias Assessment of Diagnostic Accuracy Studies Using QUADAS 2 by Large Language Models

Risk of Bias Assessment of Diagnostic Accuracy Studies Using QUADAS 2 by Large Language Models

<b>Background/Objectives:</b> Diagnostic accuracy studies are essential for the evaluation of the performance of medical tests. The risk of bias (RoB) for these studies is commonly assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) tool. This study aimed to ass...

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Bibliographic Details
Main Authors: Daniel-Corneliu Leucuța, Andrada Elena Urda-Cîmpean, Dan Istrate, Tudor Drugan
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Diagnostics
Subjects:
diagnostic accuracy
large language models
artificial intelligence
risk of bias
evidence-based medicine
Online Access:https://www.mdpi.com/2075-4418/15/12/1451
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