Director of Orthopedic Engineering and 3D Musculoskeletal Imaging Lab
The Children's Hospital
Personalized medicine aims to provide the patients with the most effective treatment based on each patient’s specific characteristics and risk assessments. In orthopedics, the pathomechanism of developmental conditions as well as the treatment outcomes can vary significantly based on the distinct characteristics of the patients’ musculoskeletal system. We work towards applying a combination of engineering concepts such as kinematics, dynamics and strength of materials, mathematical methods such as 3D inverse modeling, and statistical techniques such as clustering to extract and quantify the patients’ variables and predict the outcome of specific treatments in pediatric orthopedics. An example of such approach in patient-specific pre-surgical planning of adolescent idiopathic scoliosis (the most common type of spinal deformity) will be presented. The clinical applications of data-driven decision making and its integration with robotic surgery as an emerging technology in pediatric orthopedic care will be discussed.