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Specialized Spinal Care & Modern Surgical Solutions

Spinal Surgeon in Atlanta

Meet Dr. Jun S. Kim

Dr. Jun S. Kim is a board-certified, fellowship-trained orthopedic spine surgeon at Atlanta Brain and Spine Care and Piedmont Atlanta Hospital. He 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. As the sole orthopedic spine surgeon within a premier neurosurgery group, Dr. Kim offers a uniquely comprehensive perspective — having trained extensively under both orthopedic and neurosurgical spine surgeons — that few surgeons in metro Atlanta can provide.

For additional information about Dr. Kim, including his hospital profile, patient resources, and appointment information, visit his Piedmont Physician Profile.

Education

Dr. Kim earned his Bachelor of Science in Chemical Engineering from Cornell University, graduating cum laude, and received his medical degree from the Lewis Katz School of Medicine at Temple University. He completed his orthopedic surgery residency at the Icahn School of Medicine at Mount Sinai, where he was honored with the Dr. Robert Siffert Award for the highest residency examination scores five years running. He went on to complete a dedicated fellowship in adult and pediatric scoliosis and deformity surgery at Columbia University Medical Center — one of the nation’s most rigorous deformity training programs — where he served as an assistant attending physician and clinical instructor.

Approach to Modern Spinal Care

Throughout his career, Dr. Kim has successfully treated advanced scoliosis and complex spinal deformities in both adult and pediatric patients, including the challenging revision and reconstruction cases that other surgeons often refer out. His clinical philosophy is rooted in conservative care first: he believes every non-surgical avenue should be explored before an operation is considered, and he works alongside physiatrists, physical therapists, pain specialists, neurologists, and radiologists to build comprehensive, personalized treatment plans. When spine surgery is necessary, he can tailor both the procedure and recovery plan to each individual patient.

Languages

He speaks English, Korean, and Spanish, allowing him to connect with the diverse communities he serves across metro Atlanta.

Honors & Awards

Leader in Spine Research & Artificial Intelligence

Dr. Kim is also an internationally recognized leader in spine research and the application of artificial intelligence to orthopedic surgery. He founded and directed the Machine Learning Research program within the Department of Orthopedic Surgery at Mount Sinai and was among the first orthopedic surgeons to publish on the use of deep learning to improve diagnostics, predict surgical outcomes, and streamline clinical care, such as landmark work published in Nature Medicine. He has authored more than 125 peer-reviewed publications, holds an h-index of 42 with over 5,800 citations, and has been recognized with honors including a Scoliosis Research Society Hibbs Award nomination and selection as an AvantGarde Health “Spine Research All Star.”

Outside the Office

Dr. Kim grew up in Silver Spring, Maryland, the oldest of three brothers born to Korean immigrants. He competed nationally in martial arts and brings the same discipline, precision, and commitment to excellence into the operating room.

Research Highlights

  1. Schwartz JT, Cho BH, Tang P, Schefflein J, Arvind V, Kim JS, Doshi AH, Cho SK. Deep Learning Automates Measurement of Spinopelvic Parameters on Lateral Lumbar Radiographs. Spine (Phila Pa 1976). 2020 Dec 1. doi: 10.1097/BRS.0000000000003830. Epub ahead of print. PMID: 33273436.
  2. Valliani AA, Schwartz JT, Arvind V, Cho BH, Geng E, Chang M, Gao M, Oermann EK, Robinson J, Cho SK, Kim JS. Identifying Total Hip Replacement Prostheses Using a Mobile Application Powered by Machine Learning.
  3. Kim JS, Arvind V, Schwartz JT, Valliani A, Geng E, Lee NJ, Lombardi JM, Vivas AC, Reidler JS, Zuckerman S, Cho B, Vulapalli M, Cho SK, Lehman RA, Lenke LG, Riew KD. Can Natural Language Processing and Artificial Intelligence Automate the Generation of Billing Codes From Operative Note Dictations?
  4. Kaji DA, Zech JR, Kim JS, Cho SK, Dangayach NS, Costa AB, Oermann EK: An attention based deep learning model of clinical events in the intensive care unit. PLoS ONE 02/2019; 14(2):e0211057., DOI:10.1371/journal.pone.0211057
  5. Cho BH, Kaji DA, Cheung ZB, Ye IB, Tang R, Ahn A, Carrillo O, Schwartz JT, Valliani AA, Oermann EK, Arvind V, Ranti D, Kim JS, Cho SK. Automated Measurement of Lumbar Lordosis on Radiographs Using Machine Learning and Computer Vision. Global Spine Journal 08/2019;, DOI:10.1177/2192568219868190
  6. Titano JJ, Badgley M, Schefflein J, Pain M, Su Andres, Cai M, Swinburne N, Zech J, Kim JS, Bederson
    J, Mocco J, Drayer B, Lehar J, Cho SK, Costa A, Oermann EK: Automated deep-neural-network surveillance of cranial images for acute neurologic events. Nature Medicine 08/2018; 24(9)., DOI:10.1038/s41591-018-0147-y
  7. Arvind V, Kim JS, Oermann EK, Kaji D, Cho SK: Predicting Surgical Complications in Adult Patients Undergoing Anterior Cervical Discectomy and Fusion Using Machine Learning. 12/2018; 15(4)., DOI:10.14245/ns.1836248.124
  8. Kim JS, Merrill RK, Arvind V, Kaji D, Pasik SD, Nwachukwu CC, Vargas L, Osman NS, Oermann EK, Caridi JM, Cho SK. Examining the Ability of Artificial Neural Networks Machine Learning Models to Accurately Predict Complications Following Posterior Lumbar Spine Fusion. Spine (Phila Pa 1976). 2018 Jun 15;43(12):853-860.
    doi: 10.1097/BRS.0000000000002442.