The use of machine learning has transformed many fields, however limited progress has been made in the field of orthopedic surgery. In the Cho Spine lab, we focus on using the latest and most advanced principles in machine learning and applying them to improve surgical outcomes for spine surgery. We have developed novel artificial intelligence tools that can predict post-operative complications following spine surgery using pre-operative electronic medical registry data. Another initiative in the Cho Spine lab has been the development of medical imaging technologies using convolutional neural networks that can be used to to aid surgeons in assessing radiographic images. We believe that our advancements in machine learning research can be an important tool to aid orthopedic surgeons in proving more safe and effective care for our patients.
Interview with Samuel Cho, MD
- Becker’s Spine Article-Mount Sinai West Spine Center to be led by Dr. Samuel Cho
- Global Spine Congress 2019
- NASS 2018 Robotics and Navigation Best Paper Award
- 2018 Match Day
- Kuwaiti Ministry of Health Visit
- Global Spine Journal – Best Papers of 2017!
- NASS 2017!
- Graduation with Distinction in Research Achievement Ceremony – Icahn School of Medicine at Mount Sinai