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Automated O-RADS Risk Stratification Using a Large Language Model Analysis of Narrative Ultrasound Reports.

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第一作者： Yanhui,Guo

第一单位： Department of Computer Science, University of Illinois Springfield, Springfield, IL, USA. Electronic address: yguo56@uis.edu.

作者： Yanhui,Guo ^[1] ; Jingjing,Gong ^[2] ; Ruquan,Jiang ^[3] ; Asmi,Agarwal ^[4] ; Ruchika,Goel ^[5] ; Richard,Selingreund ^[4] ; Yujie,Liu ^[6] ; Min,Ren ^[7]

作者单位： Department of Computer Science, University of Illinois Springfield, Springfield, IL, USA. Electronic address: yguo56@uis.edu. ^[1] School of Medicine, Tongji University, Shanghai, China; Department of Medical Ultrasound, Shanghai Changning Maternity and Infant Health Hospital, Shanghai, China. ^[2] Third Clinical Medical College, Zhengzhou University, Zhengzhou, China. ^[3] Southern Illinois University School of Medicine, Springfield, IL, USA. ^[4] Southern Illinois University School of Medicine, Springfield, IL, USA; Johns Hopkins University School of Medicine, Baltimore, MD, USA. ^[5] Department of Ultrasound Medicine, Sanya Central Hospital (The Third People's Hospital of Hainan Province), Sanya, China. Electronic address: liuyujiezjk@163.com. ^[6] Department of Ultrasound Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China. Electronic address: dochrm@163.com. ^[7]

关键词 Large language model (LLM)Machine learning (ML)Natural language processing (NLP)Ovarian cancer Ovarian-Adnexal Reporting and Data System (O-RADS)Risk stratification Ultrasound radiology

医学主题词人类(Humans);女(雌)性(Female);超声检查(Ultrasonography);危险性评估(Risk Assessment);卵巢肿瘤(Ovarian Neoplasms);放射学信息系统(Radiology Information Systems);自然语言处理(Natural Language Processing)

DOI 10.1016/j.ultrasmedbio.2026.03.009

PMID 41966937

发布时间 2026-05-11

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