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人工智能在淋巴瘤诊断与管理中的应用:机遇、挑战及未来方向

Artificial Intelligence Applications in Lymphoma Diagnosis and Management: Opportunities, Challenges, and Future Directions.

作者信息

Shen Miao, Jiang Zhinong

机构信息

Department of Pathology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou City, Zhejiang Province, 310000, People's Republic of China.

Department of Pathology, Deqing People's Hospital, Huzhou City, Zhejiang Province, 313200, People's Republic of China.

出版信息

J Multidiscip Healthc. 2024 Nov 18;17:5329-5339. doi: 10.2147/JMDH.S485724. eCollection 2024.

Abstract

Lymphoma, a heterogeneous group of blood cancers, presents significant diagnostic and therapeutic challenges due to its complex subtypes and variable clinical outcomes. Artificial intelligence (AI) has emerged as a promising tool to enhance the accuracy and efficiency of lymphoma pathology. This review explores the potential of AI in lymphoma diagnosis, classification, prognosis prediction, and treatment planning, as well as addressing the challenges and future directions in this rapidly evolving field.

摘要

淋巴瘤是一组异质性血液癌症,由于其复杂的亚型和多变的临床结果,在诊断和治疗方面面临重大挑战。人工智能(AI)已成为提高淋巴瘤病理学诊断准确性和效率的一种有前景的工具。本文综述探讨了人工智能在淋巴瘤诊断、分类、预后预测和治疗规划中的潜力,同时也讨论了这个快速发展领域中的挑战和未来方向。

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