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 has completed extensive training with both orthopedic spine surgeons and neurosurgical spine surgeons to develop his knowledge and skills. During the course of his career, he has had experience successfully treating advanced scoliosis and deformities of the spine in adult and pediatric patients.
Dr. Kim attended Cornell University and graduated with a Bachelor of Science in Chemical and Biomolecular Engineering. He received his medical degree (MD) from the Lewis Katz School of Medicine at Temple University, and completed his orthopedic 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’s approach to modern spine care is comprehensive, personalized, and multidisciplinary. He utilizes a team approach to care which incorporates the expertise of medical specialists to deliver the highest-quality of treatment. He includes the valuable services of physiatrists, physical therapists, anesthesiologists, neurologists, radiologists, internists, and pediatricians in developing comprehensive treatment plans that yield high rates of success. Dr. Kim also believes it is imperative that all non-surgical avenues be explored and tested before surgical treatments are considered. If spine surgery becomes necessary, Dr. Kim believes the surgery and rehabilitation plan should be personalized and tailored to the specific needs of each patient.
Dr. Kim is also the head of the Orthopedic 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 orthopedic 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.
Dr. Kim speaks English, Korean, and Spanish.
HONORS & AWARDS
- Alpha Omega Alpha (Member of AOA)
- Gold Humanism Honor Society
- 2006-2010 Dean’s List Cornell University Engineering (2006-2010)
- 2010-2014 Class of 1973 Scholarship
- 2010-2014 Gonzalez-Jimenez Scholarship
- 2014 Raymond J. Harris-Christian Medical Student Scholarship
- 2015 Dr. Robert Siffert Award for Academic Achievement
- 2016 Dr. Robert Siffert Award for Academic Achievement
- 2017 Dr. Robert Siffert Award for Academic Achievement
- 2017 Young Investigator Grant (NIH KL2)/Mount Sinai 4D Grant
- 2018 Dr. Robert Siffert Award for Academic Achievement
- 2018 Mount Sinai Spine Award for Research Excellence
- 2018 4D Technology Development Program Award
- 2019 Dr. Robert Siffert Award for Academic Achievement
- 2019 4D Technology Development Program Award
- 2019 Young Investigator Grant (NIH KL2)/Mount Sinai 4D Grant
- Russell A. Hibbs Award for Clinical Research (Nominated)