为数字双胞胎辩护:意大利医疗保健需要人工智能驱动的预测建模,以实现个性化医疗
Diana Ferro1, Francesco Baglivo2, Luigi De Angelis2
1Predictive and Preventive Medicine, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy - Italian Society for Artificial Intelligence in Medicine (SIIAM - Società Italiana Intelligenza Artificiale in Medicina), Rome, Italy.
Recenti progressi in medicina
|October 2, 2025
概括
数字双胞胎,虚拟患者复制品,通过模拟治疗和预测健康结果,使个性化医学成为可能. 将它们整合到医疗保健中需要解决数据,隐私和监管挑战,以实现预测性,参与式护理.
科学领域:
- 数字健康数字健康
- 生物医学信息学是生物医学信息学.
- 医学中的人工智能
背景情况:
- 精准医学整合了各种患者数据,以提供量身定制的护理.
- 数字双胞胎是动态的,人工智能驱动的虚拟患者复制品.
- 它们可以在体实验中模拟疗法和疾病进展.
研究的目的:
- 检查将数字双胞胎纳入意大利医疗保健的机会和系统级要求.
- 探索数字双胞胎如何推进预测性,预防性,个性化和参与性 (P4) 医学.
- 讨论模拟和临床现实在医疗保健创新的融合.
主要方法:
- 这一观点审查了现有的文献,并提出了数字双胞胎集成的框架.
- 它分析了潜在的益处,包括早期诊断和向治疗.
- 讨论了数据集成,隐私,监管和公平等挑战.
主要成果:
- 数字双胞胎可以将医疗保健从反应性转变为预测性和参与性.
- 它们为个性化治疗策略和不良事件预测提供了in silico模拟的便利.
- 成功的整合需要强大的治理,互操作的基础设施和临床医生培训.
结论:
- 数字双胞胎代表着向持续,适应性患者护理的范式转变.
- 实现它们的潜力需要协作解决方案,道德框架和公私合作伙伴关系.
- 负责任的采用将促进科学严谨和以人为中心的医疗保健创新.
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