Mo-fi-disc scoring system: Towards understanding the radiological tools to better delineate the disease process and enhancing our solutions for low back pain in artificial intelligence era.

Journal: Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association

PMID: 38570287

Abstract

BACKGROUND: 'Mo-fi-disc' is a new scoring system that quantifies degeneration of the lumbar spine and predicts the intensity of low back pain (LBP). However, its association with LBP-related disability is unknown. In the present study, we aimed to analyze whether 'Mo-fi-disc' scoring system could predict LBP-related disability and distinguish patients with LBP from asymptomatic subjects, while the spine medicine marching towards the era of artificial intelligence (AI).

Authors

Murat Sakir Eksi
Gurkan Berikol

Taksim Training and Research Hospital, Department of Neurosurgery, Istanbul, Turkey.
Emel Ece Özcan-Ekşi

Acıbadem Bağdat Caddesi Medical Center, Physical Therapy and Rehabilitation Unit, Istanbul, Turkey.

Keywords

Adult Aged Artificial Intelligence Cross-Sectional Studies Disability Evaluation Female Humans Intervertebral Disc Degeneration Low Back Pain Lumbar Vertebrae Magnetic Resonance Imaging Male Middle Aged Pain Measurement Prospective Studies Severity of Illness Index

External Resources

View on PubMed Access via DOI PubMed (38570287)

Mo-fi-disc scoring system: Towards understanding the radiological tools to better delineate the disease process and enhancing our solutions for low back pain in artificial intelligence era.

Abstract

Authors

Keywords

External Resources

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