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

Mohammad Hamza Bajwa; Areeba Ahmed Samejo; Akbar Jaleel Zubairi

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

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

Mohammad Hamza Bajwa
, Areeba Ahmed Samejo
, Akbar Jaleel Zubairi

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

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.

Original language	English (US)
Pages (from-to)	S97-S99
Journal	Journal of the Pakistan Medical Association
Volume	74
Issue number	4
DOIs	https://doi.org/10.47391/JPMA.AKU-9S-15
Publication status	Published - Apr 2024

Keywords

Acute Care Surgery
Artificial Intelligence
Neoplasms
prediction
scoliosis
spine deformity

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10.47391/JPMA.AKU-9S-15

Cite this

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title = "Clinical applications of AI-prediction tools in spine surgery: a narrative review",

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 = "Acute Care Surgery, Artificial Intelligence, Neoplasms, prediction, scoliosis, spine deformity",

author = "Bajwa, \{Mohammad Hamza\} and Samejo, \{Areeba Ahmed\} and Zubairi, \{Akbar Jaleel\}",

year = "2024",

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PY - 2024/4

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AB - 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.

KW - Acute Care Surgery

KW - Artificial Intelligence

KW - Neoplasms

KW - prediction

KW - scoliosis

KW - spine deformity

UR - https://www.scopus.com/pages/publications/85192604453

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M3 - Article

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ER -

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

Abstract

Keywords

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