The clinical value of artificial intelligence in assisting junior radiologists in thyroid ultrasound: a multicenter prospective study from real clinical practice

Abstract Background This study is to propose a clinically applicable 2-echelon (2e) diagnostic criteria for the analysis of thyroid nodules such that low-risk nodules are screened off while only suspicious or indeterminate ones are further examined by histopathology, and to explore whether artificia...

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Detaylı Bibliyografya

Asıl Yazarlar:	Dong Xu, Lin Sui, Chunquan Zhang, Jing Xiong, Vicky Yang Wang, Yahan Zhou, Xinying Zhu, Chen Chen, Yu Zhao, Yiting Xie, Weizhen Kong, Jincao Yao, Lei Xu, Yuxia Zhai, Liping Wang
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	BMC 2024-07-01
Seri Bilgileri:	BMC Medicine
Konular:	Thyroid nodule Ultrasound Artificial intelligence Diagnosis criteria
Online Erişim:	https://doi.org/10.1186/s12916-024-03510-z
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