Virtual Clinical Trials - Implications of Computer Simulations and Artificial Intelligence for Musculoskeletal Research.
Steven P MellAlexander L HornungCatherine YuhDino SamartzisPublished in: The Journal of bone and joint surgery. American volume (2024)
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.
Keyphrases
- artificial intelligence
- clinical trial
- big data
- deep learning
- machine learning
- randomized controlled trial
- phase ii
- healthcare
- molecular docking
- study protocol
- open label
- public health
- double blind
- type diabetes
- quality improvement
- physical activity
- systematic review
- adipose tissue
- combination therapy
- insulin resistance
- molecular dynamics simulations