灵丹妙药
多学科方法
临床试验
随机对照试验
干预(咨询)
过程(计算)
心理干预
计算机科学
管理科学
医学
医学物理学
替代医学
工程类
护理部
社会科学
外科
病理
社会学
操作系统
作者
Steven P. Mell,Alexander Hornung,Catherine Yuh,Dino Samartzis
标识
DOI:10.2106/jbjs.23.01236
摘要
Abstract: 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.
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