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

Development and Evaluation of Research Methods, Instruments and Tools (774) Cancer Prognosis Models and Machine Learning (72) Innovations in Cancer Diagnostic and Decision Support (117) Imaging Informatics (317) Machine Learning (2167) Natural Language Processing (935) Artificial Intelligence (2249) Clinical Informatics (1378) Generative Language Models Including ChatGPT (758)

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

Authors of this article:

Gerald Gui Ren Sng1, 2 Author Orcid Image ;   Yi Xiang3 Author Orcid Image ;   Daniel Yan Zheng Lim2, 4 Author Orcid Image ;   Joshua Yi Min Tung2, 5 Author Orcid Image ;   Jen Hong Tan2 Author Orcid Image ;   Chiaw Ling Chng1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Silva T, Andrade-Bortoletto M, Alencar-Palha C, Ocampo T, Oliveira-Santos C, Freitas D, Oliveira M. Evaluation of ChatGPT–4 and Microsoft Copilot for Third-Molar Assessment on Panoramic Radiographs. Journal of Imaging Informatics in Medicine 2026 View