Work

An Artificial Intelligence–Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma

Year: 2024

Type: article

Study design: Observational Study

Source: Clinical Cancer Research

DOI: 10.1158/1078-0432.ccr-24-2356

Authors: Qiang Li, Weituo Zhang, Tian Liao, Yi Gao, Yanzhi Zhang, Anqi Jin, Ben Ma, Ning Qu, Huan Zhang, Xiangqian Zheng, Dapeng Li, Xinwei Yun, Jingzhu Zhao, Herbert Yu, Ming Gao, Yu Wang, Biyun Qian

Institutions: Shanghai Jiao Tong University, Tongren Hospital, Fudan University Shanghai Cancer Center, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, City Of Hope National Medical Center, University of Hawaii Cancer Center, Tongji University, Shanghai Tenth People's Hospital

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality

Awards: G3950035204, G5088553711, G5726834374, G8517849915

OpenAlex ID: W4404304844

FWCI: 1.832

Cites: 59

Cited by: 8

Related to: 10