An interpretable multimodal machine learning model for predicting malignancy of thyroid nodules in low-resource scenarios

Authors

Ma Fuqiang (ORCID: https://orcid.org/0000-0002-7792-7432)
Xinyu Gu (ORCID: https://orcid.org/0000-0001-6762-7463)
Fengchang Yu (ORCID: https://orcid.org/0000-0002-6503-4688)
He-Rong Mao
Lihua Zhang (ORCID: https://orcid.org/0000-0003-4965-5131)
Lele Zhang (ORCID: https://orcid.org/0009-0007-1331-5086)
Nan Xiang (ORCID: https://orcid.org/0000-0003-0347-1580)
Zhilin Lu

Institutions

Henan University of Science and Technology (CN)
Hubei University of Chinese Medicine (CN)
Wuhan University (CN)
Hubei Provincial Hospital of Traditional Chinese Medicine (CN)
Hubei University Of Economics (CN)
First Affiliated Hospital of Henan University of Science and Technology (CN)
Huanggang Central Hospital (CN)
Hubei University (CN)

Publication Details

Journal: BMC Endocrine Disorders
Published: 2025-10-16
DOI: https://doi.org/10.1186/s12902-025-02031-x
Primary Topic: Thyroid Cancer Diagnosis and Treatment
Type: article
Field-Weighted Citation Impact: 0.00

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article

An interpretable multimodal machine learning model for predicting malignancy of thyroid nodules in low-resource scenarios

Ma Fuqiang, Xinyu Gu, Fengchang Yu, He-Rong Mao et al.

Oct 16, 2025

BMC Endocrine Disorders

Thyroid Cancer Diagnosis and Treatment

article

An interpretable multimodal machine learning model for predicting malignancy of thyroid nodules in low-resource scenarios

Ma Fuqiang, Xinyu Gu, Fengchang Yu, He-Rong Mao, Lihua Zhang, Lele Zhang, Nan Xiang, Zhilin Lu

October 16, 2025article en

Abstract

No abstract available for this paper.

BMC Endocrine DisordersVol. 25(1)

Henan University of Science and Technology (CN), Hubei University of Chinese Medicine (CN), Wuhan University (CN), Hubei Provincial Hospital of Traditional Chinese Medicine (CN), Hubei University Of Economics (CN), First Affiliated Hospital of Henan University of Science and Technology (CN), Huanggang Central Hospital (CN), Hubei University (CN)

Openalex Percentile: Top 61%

Thyroid Cancer Diagnosis and Treatment

DOI Open Access PDF OpenAlex

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