Artificial intelligence-enabled ultrasound diagnosis and stratification of follicular thyroid neoplasms: a multi-center study

Abstract Preoperatively distinguishing follicular thyroid carcinoma (FTC) from follicular thyroid adenoma (FTA) remains a significant clinical challenge. Current ultrasound risk stratification systems show limited efficacy for follicular neoplasms, and existing artificial intelligence (AI) approache...

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Detalhes bibliográficos

Principais autores:	Jianming Li, Haoyan Zhang, Huan Zheng, Yuancheng Cang, Lin xue Qian, Ligang Cui, Xinping Wu, Baoding Chen, Man Lu, Yong Xu, Runqin Miao, Desheng Sun, Liping Liu, Ping Li, Changsong Xu, Li Ma, Guoyong Hua, Shengnan Huo, Yanjun Liu, Weide Dai, Kexin Lou, Xiang Xie, Liping Yang, Fang Mei, Bo Ping, Xin Yang, Jie Yu, Kun Wang, Ping Liang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2026-03-01
coleção:	npj Digital Medicine
Acesso em linha:	https://doi.org/10.1038/s41746-026-02489-6
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