This paper is in the following e-collection/theme issue:

Digital Health Reviews (1724) Machine Learning (2076) Aging with Chronic Disease (177) AI in Older Adult Care (40) Neurology and Neurosciences (286) Artificial Intelligence (2129)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54676, first published .
Machine Learning and Deep Learning for Diagnosis of Lumbar Spinal Stenosis: Systematic Review and Meta-Analysis

Machine Learning and Deep Learning for Diagnosis of Lumbar Spinal Stenosis: Systematic Review and Meta-Analysis

Machine Learning and Deep Learning for Diagnosis of Lumbar Spinal Stenosis: Systematic Review and Meta-Analysis

Authors of this article:

Tianyi Wang1 Author Orcid Image ;   Ruiyuan Chen1 Author Orcid Image ;   Ning Fan1 Author Orcid Image ;   Lei Zang1 Author Orcid Image ;   Shuo Yuan1 Author Orcid Image ;   Peng Du1 Author Orcid Image ;   Qichao Wu1 Author Orcid Image ;   Aobo Wang1 Author Orcid Image ;   Jian Li1 Author Orcid Image ;   Xiaochuan Kong1 Author Orcid Image ;   Wenyi Zhu1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Juvekar P, Christopher S, Ghogawala Z. Future Directions in the Treatment of Lumbar Spondylolisthesis. Neurosurgery Clinics of North America 2026;37(1):143 View
  2. Sun Y, Li B, Ju C, Hu L, Sun H, An J, Kim T, Bu Z, Shi Z, Liu J, Liu Z. Predictive Performance of Radiomics-Based Machine Learning for Colorectal Cancer Recurrence Risk: Systematic Review and Meta-Analysis. JMIR Medical Informatics 2025;13:e78644 View