Artificial Intelligence in Planning for Spine Surgery.

Journal: Current reviews in musculoskeletal medicine
Published Date: Aug 26, 2025

Abstract

PURPOSE OF REVIEW: There has been an expanding role of artificial intelligence (AI) and machine learning (ML) in spine surgery, particularly in operative planning, intraoperative navigation, and postoperative management. With a focus on patient-specific surgical strategies, AI technologies offer new possibilities for improving surgical accuracy, reducing risks, and enhancing patient outcomes in spine care.

Authors

  • Iyad S Ali
    Department of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, 259 E Erie St, Chicago, IL, 60611, USA. iyad.ali@northwestern.edu.
  • Yianni Bakaes
    Department of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, 259 E Erie St, Chicago, IL, 60611, USA.
  • James S MacLeod
    Department of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, 259 E Erie St, Chicago, IL, 60611, USA.
  • Tony Y Lee
    Department of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, 259 E Erie St, Chicago, IL, 60611, USA.
  • Sia Cho
    Department of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, 259 E Erie St, Chicago, IL, 60611, USA.
  • Wellington K Hsu

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