Jun S. Kim, MD's portrait
Jun S. Kim, MD

About Jun S. Kim, MD

Dr. Jun S. Kim is a fellowship trained spine surgeon at The Mount Sinai Hospital and an Assistant Professor in the Department of Orthopedic Surgery. Dr. Kim specializes in cervical spine and scoliosis surgery, using a combination of minimally invasive, open, and microsurgical techniques to treat disorders of the cervical, thoracic, and lumbar spine. Dr. Kim attended Cornell University and graduated with Bachelor of Science in Chemical and Biomolecular Engineering. He received his MD from the Lewis Katz School of Medicine at Temple University, and completed orthopaedic surgery residency at Mount Sinai Medical Center. After his residency at Mount Sinai, Dr. Kim completed a spine fellowship in adult and pediatric scoliosis and deformity surgery at Columbia University Medical Center where he served as an assistant attending physician and a clinical instructor.

Dr. Kim is also the head of the Orthopaedic Surgery Department’s Artificial Intelligence (AI) and Machine Learning (ML) laboratory and a member of the Mount Sinai AI Consortium. He has published numerous peer-reviewed articles utilizing deep learning for diagnostics, prognostication and risk stratification. He is currently one of the first orthopaedic surgeons to employ and publish on machine learning techniques to study, analyze, and improve the way surgeons practice medicine. He has won numerous grants in the space of AI, and He was nominated by the Scoliosis Research Society for the prestigious Russell A. Hibbs Clinical Research Award.

Articles Reviewed by Jun S. Kim, MD

Using Artificial Intelligence Algorithms to Detect Vertebral Fractures

Learn how a Japanese team tested AI diagnosis against experienced spine surgeons, and hear from an expert on the tech’s potential.

The Dish on DISH: Diffuse Idiopathic Skeletal Hyperostosis

Learn about diffuse idiopathic skeletal hyperostosis (DISH) and how to prevent it.

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