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人工智能和乳腺癌管理:从数据到诊所

Kaixiang Feng^1,2, Zongbi Yi², Binghe Xu³

¹Department of Breast and Thyroid Surgery, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center Zhongnan Hospital of Wuhan University Wuhan Hubei China.

Cancer innovation

|February 21, 2025

概括

人工智能 (AI) 为乳腺癌 (BC) 管理提供了强大的工具,改善了诊断和治疗. 将人工智能集成到临床实践中仍然存在挑战,需要专注于以患者为导向的算法和监管监督.

科学领域:

在瘤学瘤学.
医疗成像医学成像
基因组数据分析基因组数据分析
人工智能的人工智能

背景情况:

乳腺癌 (BC) 是一个主要的全球健康问题.
瘤学数据 (图像,临床,基因组) 的数量呈指数级增长.
人工智能 (AI) 在处理复杂,多维的BC数据方面表现出色.

研究的目的:

为提供当前关于乳腺癌人工智能研究的全面审查.
在整个BC管理周期中突出显示AI应用.
探索未来的研究方向和在不列颠哥伦比亚省AI的机会.

主要方法:

对乳腺癌人工智能现有文献的综述.
对人工智能在查,诊断,预后和治疗规划中的应用进行分析.
讨论人工智能在精准医学中的应用所面临的挑战和机会.

主要成果:

人工智能在BC查,诊断,预后和个性化治疗方面显示出显著的优势.
人工智能有助于高效处理各种BC相关数据.
成功实施人工智能需要解决监管,透明度,公平性和临床途径集成问题.

结论:

人工智能拥有巨大的潜力,可以彻底改变乳腺癌的治疗.
以患者为导向的AI算法开发对于临床成功至关重要.
需要进一步的研究来克服实施挑战,并最大限度地提高AI在BC的影响.

关键词:

人工智能的人工智能是人工智能.乳腺癌乳腺癌乳腺癌临床实践中的临床实践深度学习是一种深度学习.机器学习是机器学习.

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