Interpretable Machine Learning Model Using Digitized US Features for Classifying Complex Thyroid Nodules

Radiology Artificial Intelligence 2026

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Authors: Zhuyao Li, Yu Yan, Xiang Li, Kezhou Wu, Xiubo Lu
DOI: 10.1148/ryai.250383
Cited by: 1
References: 32

Abstract

Using an interpretable white box approach to digitized US feature extraction, the authors developed an artificial intelligence model capable of accurately classifying complex thyroid nodules.

Fields of Study & Subjects

Thyroid Cancer Diagnosis and Treatment AI in cancer detection Infrared Thermography in Medicine

Publication details

Journal / source
Radiology Artificial Intelligence
Publisher
Radiological Society of North America (RSNA)
Volume
8
Issue
2
Pages
e250383–e250383
Publication date
4 February 2026
Language
EN