Artificial Intelligence in Spine Imaging: A Paradigm Shift in Diagnosis and Care.

Journal: Magnetic resonance imaging clinics of North America
PMID: 40287253

Abstract

Recent advancements in artificial intelligence (AI) can significantly improve radiologists' workflow, improving efficiency and diagnostic accuracy. Current AI applications within spine imaging are approved to accelerate image acquisition time, improve MR imaging quality, triage studies with urgent findings, and aid with image interpretation and report generation. Radiologists should stay up to date on the latest AI advancements and know how to use these tools to improve their own practice. We review current practical applications of AI as well as cutting edge research for future workflow integration.

Authors

  • Kushal Patel
    Department of Radiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA. Electronic address: kushal.patel@mountsinai.org.
  • Pierce Cooper
    Department of Radiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA.
  • Puneet Belani
    Department of Radiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA.
  • Amish Doshi
    Department of Radiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA.

Keywords

External Resources

Popular Topics
Recent Journals