Using a Large Language Model for Breast Imaging Reporting and Data System Classification and Malignancy Prediction to Enhance Breast Ultrasound Diagnosis: Retrospective Study

Using a Large Language Model for Breast Imaging Reporting and Data System Classification and Malignancy Prediction to Enhance Breast Ultrasound Diagnosis: Retrospective Study

Abstract BackgroundBreast ultrasound is essential for evaluating breast nodules, with Breast Imaging Reporting and Data System (BI-RADS) providing standardized classification. However, interobserver variability among radiologists can affect diagnostic accuracy. Large language...

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Bibliographic Details
Main Authors: Su Miaojiao, Liang Xia, Zeng Xian Tao, Hong Zhi Liang, Cheng Sheng, Wu Songsong
Format: Article
Language:English
Published: JMIR Publications 2025-06-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2025/1/e70924
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