病理学的数字革命:朝着更智能的研究和治疗方法
Francesco Tucci1,2, Arvydas Laurinavicius3,4, Jakob Nikolas Kather5,6
1School of Pathology, University of Milan, Milan, Italy.
Tumori
|April 12, 2024
概括
人工智能 (AI) 正在通过诊断和病理学的应用来彻底改变瘤学. 本综述涵盖了人工智能基础,应用以及数据安全和医疗保健采用的伦理等挑战.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 第四次工业革命的特点是数字数据爆炸.
- 人工智能 (AI) 是医疗保健领域的一个变革性技术.
- 人工智能在瘤学中的应用正在迅速发展.
研究的目的:
- 提供对AI基础和瘤学应用的可访问的介绍.
- 审查当前的AI应用,重点是诊断成像和病理学.
- 讨论在瘤学中采用人工智能的机遇和挑战.
主要方法:
- 审查人工智能基础:专家系统,经典机器学习,深度学习.
- 分析AI在临床研究和医疗保健中的应用,特别是瘤学.
- 讨论监管批准,数据安全,模型可解释性和道德考虑.
主要成果:
- 人工智能在瘤学中提供了显著的好处,特别是在诊断成像和病理学中.
- 许多人工智能工具已经获得了监管部门的批准,更多的工具正在开发中.
- 关键的挑战包括数据安全,模型透明度和道德考虑.
结论:
- 在瘤学中采用人工智能既有机遇又有挑战.
- 研究人员,临床医生和决策者需要对人工智能实施的指导.
- 解决数据安全,可解释性和伦理问题对于成功地将人工智能整合到医疗保健中至关重要.
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