SEARCHSYSTEMATIC_REVIEWneurology, surgery

systematic_review·neurology, surgery, biomedical research, research methods, systematic review·PMC10432249

The use of deep learning in medical imaging to improve spine care: A scoping review of current literature and clinical applications

North American Spine Society Journal · 7 authors, 5 centres

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AGENT 01 · STRUCTURED SUMMARY

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TL;DR

The review found that DL approaches showed promising performance for improving the detection and diagnosis of spinal conditions like degenerative disease and deformities.

Full summary

170 CHARS

The review found that DL approaches showed promising performance for improving the detection and diagnosis of spinal conditions like degenerative disease and deformities.

STUDY TYPE

systematic_review

SPECIALTY

neurology

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AI pipeline

FIDELITY CHECK

100% · A

ORIGINAL PAPER

PMC10432249

The use of deep learning in medical imaging to improve spine care: A scoping review of current literature and clinical applications

North American Spine Society Journal

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ABSTRACT

Highlights • Most deep learning (DL) in imaging studies focused on spinal conditions' detection and diagnosis. • A total of 92% of DL in imaging studies developed a new model while 8% validated a pre-existing one. • DL in medical imaging showed promising performance in improving clinical spine care. • Implementation or demonstration of DL in real-world situations was rare.

CITATION EXPORT

Caroline Constant, Carl-Eric Aubin, Hilal Maradit Kremers et al.. The use of deep learning in medical imaging to improve spine care: A scoping review of current literature and clinical applications. North American Spine Society Journal. (2023). https://doi.org/10.1016/j.xnsj.2023.100236

AUTHORS

7 · 5 CENTRES

Caroline Constant, Carl-Eric Aubin, Hilal Maradit Kremers, Diana V. Vera Garcia, Cody C. Wyles, Pouria Rouzrokh, Annalise Noelle Larson

aOrthopedic Surgery AI Laboratory, Mayo Clinic, 200 1st St Southwest, Rochester, MN, 55902, United States
bPolytechnique Montreal, 2500 Chem. de Polytechnique, Montréal, QC H3T 1J4, Canada
cAO Research Institute Davos, Clavadelerstrasse 8, CH 7270, Davos, Switzerland
dRadiology Informatics Laboratory, Mayo Clinic, 200, 1st St Southwest, Rochester, MN, 55902, United States
eDepartment of Orthopedic Surgery, Mayo Clinic, 200, 1st St Southwest, Rochester, MN, 55902, United States