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

IF 2.7 3区医学 Q2 HEALTH CARE SCIENCES & SERVICES

Journal of Multidisciplinary Healthcare Pub Date : 2024-11-18 eCollection Date: 2024-01-01 DOI:10.2147/JMDH.S485724

Miao Shen, Zhinong Jiang

引用次数: 0

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.

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人工智能在淋巴瘤诊断和管理中的应用：机遇、挑战和未来方向。

淋巴瘤是一种异质性血癌，由于其亚型复杂、临床结果多变，给诊断和治疗带来了巨大挑战。人工智能（AI）已成为提高淋巴瘤病理诊断准确性和效率的有效工具。本综述探讨了人工智能在淋巴瘤诊断、分类、预后预测和治疗计划方面的潜力，并探讨了这一快速发展领域所面临的挑战和未来发展方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Multidisciplinary Healthcare Nursing-General Nursing

CiteScore

4.60

自引率

3.00%

发文量

287

审稿时长

16 weeks

期刊介绍： The Journal of Multidisciplinary Healthcare (JMDH) aims to represent and publish research in healthcare areas delivered by practitioners of different disciplines. This includes studies and reviews conducted by multidisciplinary teams as well as research which evaluates or reports the results or conduct of such teams or healthcare processes in general. The journal covers a very wide range of areas and we welcome submissions from practitioners at all levels and from all over the world. Good healthcare is not bounded by person, place or time and the journal aims to reflect this. The JMDH is published as an open-access journal to allow this wide range of practical, patient relevant research to be immediately available to practitioners who can access and use it immediately upon publication.