生成性人工智能在个性化医学中的作用:系统性审查
Aashish Mishra1, Anirban Majumder2, Dheeraj Kommineni3
1Computer Science and Information Technology, Eastern Kentucky University, Richmond, USA.
Cureus
|May 16, 2025
概括
生成型人工智能 (AI) 可以创建现实的患者数据,解决精准医学问题.
科学领域:
- 计算生物学和生物信息学
- 医疗信息学医学信息学
- 医疗保健中的人工智能
背景情况:
- 精准医学在数据收集,成本和隐私方面面临着挑战.
- 生成型人工智能 (AI) 可以生成现实的和机密的患者数据.
- 人工智能为增强以患者为中心的医疗保健提供了一个潜在的解决方案.
研究的目的:
- 系统地审查生成AI在个性化医学中的作用.
- 评估生成性AI模型在定制治疗中的应用和影响.
主要方法:
- 按照PRISMA指南进行系统的文献审查.
- 在PubMed,科学网,Scopus,CINAHL和谷歌学者中进行了搜索.
- 包括27项相关研究从最初的549个确定.
主要成果:
- 生成对抗网络 (GAN) 和变异自编码器 (VAE) 是常见的模型.
- 应用包括药物反应预测,治疗效果估计,生物标志物发现和患者分层.
- 生成型人工智能对精确的治疗预测和特定患者的洞察力非常有希望.
结论:
- 生成型人工智能具有重大潜力,可以彻底改变个性化医疗.
- 挑战包括模型验证,可解释性和偏差.
- 未来的研究需要使用各种数据集进行大规模验证,以确保临床可靠性.
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