Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70863, first published .
A Multimodal Large Language Model as an End-to-End Classifier of Thyroid Nodule Malignancy Risk: Usability Study

A Multimodal Large Language Model as an End-to-End Classifier of Thyroid Nodule Malignancy Risk: Usability Study

A Multimodal Large Language Model as an End-to-End Classifier of Thyroid Nodule Malignancy Risk: Usability Study

Gerald Gui Ren Sng   1, 2 , MBBS, MRCP(UK), MMed (Int Med), MPH ;   Yi Xiang   3 , BEng, MTech ;   Daniel Yan Zheng Lim   2, 4 , MBBS, MRCP(UK), MMed (Int Med), MTech ;   Joshua Yi Min Tung   2, 5 , MBBS, MPH ;   Jen Hong Tan   2 * , BEng, PhD ;   Chiaw Ling Chng   1 * , MBBS, MRCP(UK)

1 Department of Endocrinology, Singapore General Hospital, Singapore, Singapore

2 Data Science and Artificial Intelligence Laboratory, Singapore General Hospital, Singapore, Singapore

3 Office of Insights and Analytics, SingHealth, Singapore, Singapore

4 Department of Gastroenterology, Singapore General Hospital, Singapore, Singapore

5 Department of Urology, Singapore General Hospital, Singapore, Singapore

*these authors contributed equally

Corresponding Author:

  • Gerald Gui Ren Sng, MBBS, MRCP(UK), MMed (Int Med), MPH
  • Department of Endocrinology
  • Singapore General Hospital
  • 20 College Road, Academia Level 3
  • Singapore 169856
  • Singapore
  • Phone: 65 63214377
  • Email: gerald.sng.g.r@singhealth.com.sg