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Evaluation of the Clinical Utility of DxGPT, a GPT-4 Based Large Language Model, through an Analysis of Diagnostic Accuracy and User Experience

2024-07-26

Abstract excerpt

<h4>Importance</h4> The time to accurately diagnose rare pediatric diseases often spans years. Assessing the diagnostic accuracy of an LLM-based tool on real pediatric cases can help reduce this time, providing quicker diagnoses for patients and their families. <h4>Objective</h4> To evaluate the clinical utility of DxGPT as a support tool for differential diagnosis of both common and rare diseases. <h4>Design</h4>...

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Literature Corpus work
8ba6c421-b9d2-5b27-a076-3eb04f85a797
DOI
10.1101/2024.07.23.24310847
Open publication

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Evaluation of the Clinical Utility of DxGPT, a GPT-4 Based Large Language Model, through an Analysis of Diagnostic Accuracy and User ExperienceDOI 10.1101/2024.07.23.24310847
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