Artificial intelligence-augmented ultrasound diagnosis of follicular-patterned thyroid neoplasms: a multicenter retrospective studyResearch in context

Artificial intelligence-augmented ultrasound diagnosis of follicular-patterned thyroid neoplasms: a multicenter retrospective studyResearch in context

Summary: Background: Conventional diagnostic tools, including ultrasound, fine-needle aspiration cytology, and intraoperative frozen section pathology, may fail to reliably distinguish between benign and malignant FNs, leading to unnecessary or inadequate surgical interventions. We aimed to develop...

Full description

Saved in:
Bibliographic Details
Main Authors: Hui Shen, Shufang Pei, Yue Huang, Suqing Wu, Chifa Zhang, Ting Liang, Dan Yang, Xiaoxiao Feng, Shuyi Liu, Yu Wang, Weihan Cao, Ying Cheng, Hongyan Chen, Qiujie Ni, Fei Wang, Jingjing You, Zhe Jin, Wenle He, Jie Sun, Dexing Yang, Lijuan Liu, Boling Cao, Xiao Zhang, Yingjia Li, Shuixing Zhang, Bin Zhang
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:EClinicalMedicine
Subjects:
Follicular-patterned thyroid neoplasms
Ultrasound
Deep learning
Diagnosis
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537025002834
Tags: Add Tag
No Tags, Be the first to tag this record!
Login for hold and recall information

Internet

http://www.sciencedirect.com/science/article/pii/S2589537025002834

Similar Items