Over recent years, there has been an explosion of interest in wearable sensors, video, and computer vision for healthcare and patient monitoring. In this introductory course co-taught by C-STAR and the Restore Center, we will take a practical approach to understand how machine learning and sensors can be applied in the rehabilitation field, pitfalls to avoid, how to get started and how these tools can create reliable digital biomarkers. The course will be on-line on May 17, 2023, and is eligible for CME credit.
3D-PASS: A Score Based on 3D Anatomy to Describe Kneecap Instability Severity
Current clinical scores for predicting patellar instability treatment outcomes rely on 2D imaging measurements that do not fully describe 3D anatomy. Marissa Sinopoli and a team of Mobilize Center researchers at Stanford University developed a novel 3D Read more
