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An assessment of ChatGPT in error detection for thyroid ultrasound reports: A comparative study with ultrasound physicians
2
Zitationen
10
Autoren
2025
Jahr
Abstract
Background: This study evaluates the performance of GPT-4o in detecting errors in ACR TIRADS ultrasound reports and its potential to reduce report generation time. Methods: A retrospective analysis of 200 thyroid ultrasound reports from the Second Affiliated Hospital of Fujian Medical University was conducted, with reports categorized as correct or containing up to three errors. GPT-4o's performance was compared with ultrasound physicians of varying experience levels in error detection and processing time. Results: < 0.001), making it a reliable and efficient tool for error detection in medical imaging. Conclusions: GPT-4o is comparable to experienced ultrasound physicians in error detection and significantly improves report processing efficiency, offering a valuable tool for enhancing diagnostic accuracy and aiding junior residents.
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