Deep learning in spine surgery

Hamid Ghaednia; Amanda Lans; Nicholas Sauder; David Shin; William G. Grant; Rohan R. Chopra; Jacobien H.F. Oosterhoff; Mitchell S. Fourman; Joseph H. Schwab; Daniel G. Tobert

doi:10.1016/j.semss.2021.100876

Deep learning in spine surgery

Hamid Ghaednia, Amanda Lans, Nicholas Sauder, David Shin, William G. Grant, Rohan R. Chopra, Jacobien H.F. Oosterhoff, Mitchell S. Fourman, Joseph H. Schwab, Daniel G. Tobert

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

5 Scopus citations

Abstract

Deep learning is increasingly impactful for healthcare research and delivery. In orthopaedics, there has been a significant increase in the number of publications using deep learning for interpreting radiographs; however, there are only a few applications of deep learning specific to spine surgery. In this review, we discuss the potential of deep learning within spine surgery in four contexts: diagnosis (1), prognosis (2), patient management (3) and integration with virtual/augmented reality, robotic surgery and biomedical wearables (4). Additionally, we discuss current literature, future potentials and provide takeaways for clinicians who wish to apply deep learning in their research and practice.

Original language	English (US)
Article number	100876
Journal	Seminars in Spine Surgery
Volume	33
Issue number	2
DOIs	https://doi.org/10.1016/j.semss.2021.100876
State	Published - Jun 2021
Externally published	Yes

ASJC Scopus subject areas

Surgery
Orthopedics and Sports Medicine

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10.1016/j.semss.2021.100876

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title = "Deep learning in spine surgery",

abstract = "Deep learning is increasingly impactful for healthcare research and delivery. In orthopaedics, there has been a significant increase in the number of publications using deep learning for interpreting radiographs; however, there are only a few applications of deep learning specific to spine surgery. In this review, we discuss the potential of deep learning within spine surgery in four contexts: diagnosis (1), prognosis (2), patient management (3) and integration with virtual/augmented reality, robotic surgery and biomedical wearables (4). Additionally, we discuss current literature, future potentials and provide takeaways for clinicians who wish to apply deep learning in their research and practice.",

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AU - Lans, Amanda

AU - Sauder, Nicholas

AU - Shin, David

AU - Grant, William G.

AU - Chopra, Rohan R.

AU - Oosterhoff, Jacobien H.F.

AU - Fourman, Mitchell S.

AU - Schwab, Joseph H.

AU - Tobert, Daniel G.

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Deep learning in spine surgery

Abstract

ASJC Scopus subject areas

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