揭示人工智能预测分析对患者结果的影响:全面叙事审查
Diny Dixon1, Hina Sattar2, Natalia Moros3
1Medicine, Jubilee Mission Medical College and Research Institute, Thrissur, IND.
Cureus
|June 10, 2024
概括
人工智能 (AI) 预测分析通过改善患者在疾病进展,治疗反应和康复方面的结果,显著提高了医疗保健. 负责任的实施需要解决伦理方面的考虑,如数据隐私和偏见,以确保安全有效的临床决策.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 预测分析是一种预测分析.
背景情况:
- 医疗保健系统产生了大量的数据集 (电子健康记录,成像,遗传数据).
- 传统的分析很难充分利用这些数据来改善患者的治疗结果.
- 人工智能 (AI) 为数据分析和预测提供了先进的功能.
研究的目的:
- 审查人工智能预测分析对医疗保健结果的影响.
- 探索AI在疾病进展,治疗反应和恢复中的作用.
- 检查机器学习和深度学习在个性化医学中的应用.
主要方法:
- 对医疗保健中的AI预测分析进行全面的文献综述.
- 在疾病预测,治疗优化和恢复增强方面分析AI应用.
- 检查机器学习 (ML) 和深度学习 (DL) 技术.
主要成果:
- 人工智能预测分析提高了对疾病进展和治疗反应的预测.
- 个性化医疗是通过早期检测和通过人工智能量身定制的治疗来推进的.
- 人工智能通过优化患者护理途径来提高康复率.
结论:
- 人工智能预测分析在医疗保健和临床决策方面具有变革性的潜力.
- 伦理考虑 (隐私,偏见,问责) 对于人工智能实施至关重要.
- 持续验证和道德准则是安全有效的医疗实践人工智能增强所必需的.
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