Article

Prompt Engineering Strategies Improve the Diagnostic Accuracy of GPT-4 Turbo in Neuroradiology Cases

2024-05-01

Abstract excerpt

<h4>Background</h4> Large language models (LLMs) like GPT-4 demonstrate promising capabilities in medical image analysis, but their practical utility is hindered by substantial misdiagnosis rates ranging from 30-50%. <h4>Purpose</h4> To improve the diagnostic accuracy of GPT-4 Turbo in neuroradiology cases using prompt engineering strategies, thereby reducing misdiagnosis rates. <h4>Materials and Methods</h4> We e...

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Literature Corpus work: 7f2b9226-ddbc-5cd3-b8a6-414d37885c60
DOI: 10.1101/2024.04.29.24306583

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