在药物开发和临床试验中使用人工智能算法:范围审查
Camila de Brito Pontes1, Antonio Valerio Netto2
1Universidade Federal de São Paulo (UNIFESP), Brazil.
International journal of medical informatics
|January 19, 2025
概括
人工智能 (AI) 正通过自动化流程和个性化患者护理来彻底改变药物发现和临床试验. 解决数据质量和验证挑战是实现人工智能在医疗保健中的全部潜力的关键.
科学领域:
- 药物开发 药物开发
- 临床试验 临床试验
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 正在改变制药研究和患者治疗.
- 人工智能自动化了关键任务,加速了新疗法和个性化医学的发现.
- 它解决了现代药物开发和临床试验过程中的重大挑战.
研究的目的:
- 审查AI在药物开发和临床试验中的应用.
- 分析AI在这些领域的好处和局限性.
- 评估AI在提高医疗保健成果方面的潜力.
主要方法:
- 基于Arksey和O'Malley (2005) 的范围审查方法.
- 分析了来自主要科学数据库 (PubMed,科学网,IEEE Xplore,Scopus) 的1956项研究.
- 对10项选定的研究进行了深入分析.
主要成果:
- 常见的AI技术包括支持向量机器,神经网络和随机森林.
- 人工智能应用涵盖了新型药物重新定位,抗生素耐药性预测和临床试验优化.
- 主要挑战包括数据质量不一致和临床验证中的困难.
结论:
- 人工智能为提高药物开发和临床试验效率提供了重大机会.
- 克服数据集成和标准化障碍对于公平的AI实施至关重要.
- 在巴西等多样化的人口中解决独特的挑战对于广泛的医疗保健效益至关重要.
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