改变癌症护理:人工智能驱动策略的影响
Debanjan Mukherjee1, Debajyoti Roy2, Shubham Thakur3
1Department of Quality Assurance, ISF College of Pharmacy, Moga, Punjab, 142001, India.
Current cancer drug targets
|July 11, 2024
概括
医疗保健中的人工智能 (AI) 通过分析患者数据以定制治疗来增强精密医学. 虽然存在数据隐私和算法偏见等伦理问题,但人工智能有望改善癌症护理和患者的治疗结果.
科学领域:
- 医疗信息学 医疗信息学
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 人工智能 (AI) 在医疗保健中变得越来越重要,特别是在精准医学中.
- 人工智能通过分析基因构成和患者特征来促进个性化的治疗策略.
- 人工智能的整合旨在优化治疗疗效,并最大限度地减少不良事件.
研究的目的:
- 探索人工智能在医疗保健和精准医学中的变革潜力.
- 识别和讨论与医疗环境中人工智能实施相关的伦理考虑.
- 突出AI在促进癌症护理和患者预后方面的作用.
主要方法:
- 对人工智能应用在分析大规模患者数据集的审查.
- 对AI对治疗反应和药物相互作用的预测能力的分析.
- 检查道德挑战,包括数据隐私,算法偏见和可解释性.
主要成果:
- 人工智能使大数据的有效排序能够预测患者对治疗的反应.
- 人工智能有助于确定最佳药物组合和预测潜在的副作用.
- 数据隐私,算法偏见和可解释性等伦理问题需要仔细考虑.
结论:
- 人工智能有很大的潜力通过改善患者预后来彻底改变癌症护理.
- 人工智能可以提高医疗保健提供效率,并可能降低整体成本.
- 尽管存在道德上的挑战,但人工智能即将成为医疗实践中的标准功能.
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