• 国家药监局综合司 国家卫生健康委办公厅
  • 国家药监局综合司 国家卫生健康委办公厅

Diagnostic Accuracy of Multimodal Ultrasound Integrated with Artificial Intelligence for Central Lymph Node Metastasis in Papillary Thyroid Carcinoma: A Systematic Review

Corresponding author: wangxia, eexn0296250@126.com
DOI: 10.12201/bmr.202509.00024
Statement: This article is a preprint and has not been peer-reviewed. It reports new research that has yet to be evaluated and so should not be used to guide clinical practice.
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    Abstract: 多模态超声技术与人工智能的结合为甲状腺乳头状癌中央区淋巴结转移的诊断提供了全新范式。超声造影、弹性成像等新技术弥补了常规超声的不足,而深度学习与机器学习算法则通过高效的数据处理和特征提取,显著提高了诊断的客观性和准确性。多模态融合模型通过整合不同技术优势,展现出最佳的诊断效能,为临床决策提供了有力支持。

    Key words: ; ; ; 

    Submit time: 9 September 2025

    Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  • ID Submit time Number Download
    1 2025-08-25

    bmr.202509.00024V1

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wangxia. Diagnostic Accuracy of Multimodal Ultrasound Integrated with Artificial Intelligence for Central Lymph Node Metastasis in Papillary Thyroid Carcinoma: A Systematic Review. 2025. biomedRxiv.202509.00024

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