Clinical applications of AI-prediction tools in spine surgery: a narrative review

Authors

  • Mohammad Hamza Bajwa Department of Surgery, Aga Khan University Hospital, Karachi, Pakistan.
  • Areeba Ahmed Samejo Department of Surgery, Aga Khan University Hospital, Karachi, Pakistan.
  • Akbar Jaleel Zubairi Department of Surgery, Aga Khan University Hospital, Karachi, Pakistan.

DOI:

https://doi.org/10.47391/JPMA.AKU-9S-15

Abstract

Spine surgery has grown into a wide, complex field encompassing trauma surgery to deformity to tumours. Artificial intelligence (AI) based technology has been particularly useful in improving imaging-reporting and detection of predictive patterns. The purpose of this narrative review is to present practical approaches towards implementing upcoming AI spine research for clinicians to help improve practices, clinical throughput, and surgical decision-making.

Keywords: Artificial Intelligence, Acute Care Surgery, Neoplasms, spine deformity, scoliosis, prediction

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Published

2024-05-03

How to Cite

Mohammad Hamza Bajwa, Areeba Ahmed Samejo, & Akbar Jaleel Zubairi. (2024). Clinical applications of AI-prediction tools in spine surgery: a narrative review. Journal of the Pakistan Medical Association, 74(4), S–97. https://doi.org/10.47391/JPMA.AKU-9S-15

Issue

Vol. 74 No. 4 (2024): 9th AKU Annual Surgical Conference - Surgery In The Digital Era

Section

NARRATIVE REVIEW

License

Copyright (c) 2024 Journal of the Pakistan Medical Association

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.