This paper is in the following e-collection/theme issue:

Cancer Prognosis Models and Machine Learning (67) Clinical Information and Decision Making (1917) Machine Learning (2077) Innovations in Cancer Diagnostic and Decision Support (110) Imaging Informatics (302) Artificial Intelligence in Surgery and Perioperative Medicine (43)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73069, first published .
Size-Specific Predictors for Malignancy Risk in Follicular Thyroid Neoplasms: Machine Learning Analysis

Size-Specific Predictors for Malignancy Risk in Follicular Thyroid Neoplasms: Machine Learning Analysis

Size-Specific Predictors for Malignancy Risk in Follicular Thyroid Neoplasms: Machine Learning Analysis

Authors of this article:

Xin Li1 Author Orcid Image ;   Wen-yu Yang2 Author Orcid Image ;   Fan Zhang3 Author Orcid Image ;   Rui Shan4 Author Orcid Image ;   Fang Mei5 Author Orcid Image ;   Shi-Bing Song1 Author Orcid Image ;   Bang-Kai Sun6 Author Orcid Image ;   Jing Chen4 Author Orcid Image ;   Run-ze Hu4 Author Orcid Image ;   Yang Yang4 Author Orcid Image ;   Yi-hang Yang4 Author Orcid Image ;   Jing-yao Liu4 Author Orcid Image ;   Chun-Hui Yuan1 Author Orcid Image ;   Zheng Liu4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Xin Li   1 * , MD ;   Wen-yu Yang   2 * , BSc ;   Fan Zhang   3 * , MD ;   Rui Shan   4 , MSc ;   Fang Mei   5 , PhD ;   Shi-Bing Song   1 , MD ;   Bang-Kai Sun   6 , MD ;   Jing Chen   4 , BSc ;   Run-ze Hu   4 , BSc ;   Yang Yang   4 , BSc ;   Yi-hang Yang   4 , BSc ;   Jing-yao Liu   4 , BSc ;   Chun-Hui Yuan   1 , MD ;   Zheng Liu   4 , PhD

1 Department of General Surgery, Peking University Third Hospital, Beijing, China

2 China Center for Health Development Studies, Peking University, Beijing, China

3 Department of Ultrasound, Peking University Third Hospital, Beijing, China

4 Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China

5 Department of Pathology, Peking University Third Hospital, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China

6 Information Management and Big Data Center, Peking University Third Hosptial, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Zheng Liu, PhD
  • Department of Maternal and Child Health
  • School of Public Health, Peking University
  • 38 Huayuan Road, Haidian District, Beijing
  • Beijing 100191
  • China
  • Phone: 86 82801222
  • Email: liuzheng@bjmu.edu.cn