In silico clinical trials, particularly when augmented with artificial intelligence methods, represent an innovative approach with much to offer, particularly in the musculoskeletal field. They are a cost-effective, efficient, and ethical means of evaluating treatments and interventions by supplementing and/or augmenting traditional randomized controlled trials (RCTs). While they are not a panacea and should not replace traditional RCTs, their integration into the research process promises to accelerate medical advancements and improve patient outcomes. To accomplish this, a multidisciplinary approach is needed, and collaboration is instrumental. With advances in computing and analytical prowess, and by adhering to the tenets of team science, realization of such a novel integrative approach toward clinical trials may not be far from providing far-reaching contributions to medical research. As such, by harnessing the power of in silico clinical trials, investigators can potentially unlock new possibilities in treatment and intervention for ultimately improving patient care and outcomes.

中文翻译：

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虚拟临床试验：计算机模拟和人工智能对肌肉骨骼研究的影响。


在计算机临床试验中，特别是当使用人工智能方法进行增强时，代表了一种可以提供很多的创新方法，尤其是在肌肉骨骼领域。它们是通过补充和/或增强传统随机对照试验 （RCT） 来评估治疗和干预措施的一种具有成本效益、高效且合乎道德的方法。虽然它们不是万能的，也不应取代传统的 RCT，但它们与研究过程的整合有望加速医学进步并改善患者的预后。为了实现这一目标，需要一种多学科的方法，而合作是必不可少的。随着计算和分析能力的进步，并坚持团队科学的原则，实现这种新颖的临床试验综合方法可能离为医学研究做出深远贡献不远了。因此，通过利用计算机临床试验的力量，研究人员有可能在治疗和干预方面解锁新的可能性，最终改善患者护理和结果。