人工智能在瘤学中的用途和局限性
Likhitha Kolla1, Ravi B Parikh1,2
1Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Cancer
|March 30, 2024
概括
人工智能 (AI) 增强了瘤治疗,但也面临着挑战. 解决数据问题和偏见对于在癌症治疗中安全有效地实施人工智能至关重要.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 高维患者数据为瘤学中的AI工具提供了动力,提高了护理质量和效率.
- 在瘤学中的人工智能应用显示出更好的癌症诊断,预后和患者管理的前景.
- 对数据质量和算法偏见的担忧可能会阻碍人工智能的现实性能和安全性.
研究的目的:
- 审查目前预测性和生成性AI在瘤学的能力和局限性.
- 检查AI对癌症诊断,预后和临床工作流程的影响.
- 讨论人工智能在癌症护理中的挑战和监管考虑.
主要方法:
- 对用于癌症诊断和预后的预测性AI的文献综述.
- 分析生成性AI,包括聊天机器人,用于患者和临床医生的互动.
- 讨论人工智能开发和部署中的数据相关问题和人类偏见.
主要成果:
- 预测性AI为改善癌症诊断和预后提供了潜力.
- 像聊天机器人一样,生成人工智能可以增强患者和临床医生的参与度.
- 现实世界的人工智能性能受到数据问题和固有的偏见的限制.
结论:
- 人工智能具有巨大的潜力,可以改变瘤护理.
- 解决数据完整性和算法偏差对于安全的AI采用至关重要.
- 对于未来的人工智能集成,必须考虑当前的挑战和监管框架.
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