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

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Title: An interpretable multimodal machine learning model for predicting malignancy of thyroid nodules in low-resource scenarios.
Authors: Ma, Fuqiang1,2 (AUTHOR), Yu, Fengchang3 (AUTHOR), Gu, Xinyu4 (AUTHOR), Zhang, Lihua5 (AUTHOR), Lu, Zhilin2 (AUTHOR), Zhang, Lele1 (AUTHOR) 876758328@qq.com, Mao, Herong2,6 (AUTHOR) mhr1752@hbucm.edu.cn, Xiang, Nan6,7 (AUTHOR) xiangnan61@sina.com
Source: BMC Endocrine Disorders. 10/16/2025, Vol. 25 Issue 1, p1-10. 10p.
Database: Academic Search Ultimate
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Header DbId: asn
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An: 188711903
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: An interpretable multimodal machine learning model for predicting malignancy of thyroid nodules in low-resource scenarios.
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  Data: <searchLink fieldCode="AR" term="%22Ma%2C+Fuqiang%22">Ma, Fuqiang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Fengchang%22">Yu, Fengchang</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gu%2C+Xinyu%22">Gu, Xinyu</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Lihua%22">Zhang, Lihua</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Zhilin%22">Lu, Zhilin</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Lele%22">Zhang, Lele</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 876758328@qq.com</i><br /><searchLink fieldCode="AR" term="%22Mao%2C+Herong%22">Mao, Herong</searchLink><relatesTo>2,6</relatesTo> (AUTHOR)<i> mhr1752@hbucm.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Xiang%2C+Nan%22">Xiang, Nan</searchLink><relatesTo>6,7</relatesTo> (AUTHOR)<i> xiangnan61@sina.com</i>
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  Data: <searchLink fieldCode="JN" term="%22BMC+Endocrine+Disorders%22">BMC Endocrine Disorders</searchLink>. 10/16/2025, Vol. 25 Issue 1, p1-10. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188711903
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        Value: 10.1186/s12902-025-02031-x
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        Text: English
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              Text: 10/16/2025
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