Artificial Intelligence Classification for Detecting and Grading Lumbar Intervertebral Disc Degeneration
The AI-based classification model exhibits high accuracy, sensitivity, and specificity in detecting and grading lumbar IDD using the Pfirrmann grading. AI has significantly enhanced diagnostic precision and reliability, providing a powerful tool for clinicians in managing IDD. The potential impact is substantial, although further clinical validation is necessary before integrating this model into routine practice.
Authors
- Wongthawat Liawrungrueang (ORCID: https://orcid.org/0000-0002-4491-6569)
- Watcharaporn Cholamjiak (ORCID: https://orcid.org/0000-0002-8563-017X)
- Khanathip Jitpakdee (ORCID: https://orcid.org/0000-0003-2533-6398)
- Peem Sarasombath (ORCID: https://orcid.org/0000-0003-0513-238X)
- Vit Kotheeranurak (ORCID: https://orcid.org/0000-0002-9593-429X)
Institutions
- Chulalongkorn University (TH)
- King Chulalongkorn Memorial Hospital (TH)
- Phramongkutklao Hospital (TH)
- University of Phayao (TH)
- Memorial Hospital (US)
Publication Details
- Journal
- Spine Surgery and Related Research
- Published
- 2024-08-05
- DOI
- https://doi.org/10.22603/ssrr.2024-0154
- Citations
- 8
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.48
Funders
- University of Phayao