使用人工智能的挑战和前景,以支持临床瘤学的治疗建议
Gregor Duwe1, Dominique Mercier2, Crispin Wiesmann1
1Department of Urology and Pediatric Urology, University Medical Center, Johannes Gutenberg University, Mainz, Germany.
Cancer medicine
|June 26, 2024
概括
人工智能 (AI) 通过先进的决策工具提供个性化癌症治疗. 本综述探讨了瘤学中的AI应用,解决了数据安全性和未来临床使用的可解释性等挑战.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 计算机科学 计算机科学
背景情况:
- 人工智能 (AI) 准备彻底改变各种科学领域,包括临床瘤学.
- 人工智能驱动的决策工具正在出现,用于全面和个性化的癌症治疗方法.
- 目前医学中的AI应用主要集中在分析放射和病理图像上.
研究的目的:
- 为提供AI在瘤学中的应用概述.
- 在癌症护理中确定基于人工智能的决策工具的未来挑战和现实的前景.
- 描述在多学科癌症会议上实施AI的技术和医疗要求.
主要方法:
- 对人工智能在瘤学中的当前技术应用进行审查.
- 分析AI在处理复杂的患者和治疗数据中的作用.
- 检查AI在支持临床决策和减少错误方面的潜力.
主要成果:
- 人工智能应用程序可以分析大型,复杂的数据集,以支持临床决策并减少错误.
- 人工智能有助于为多学科癌症会议分类大量患者和治疗信息.
- 关键的挑战包括数据安全,数据表示和AI预测的可解释性.
结论:
- 人工智能对提高临床瘤学个性化治疗具有重大前景.
- 解决数据安全,表示和可解释性方面的挑战对于人工智能采用至关重要.
- 需要进一步的研究来克服局限性,并实现AI在癌症护理决策中的全部潜力.
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