Machine-learning-based prediction of functional recovery in deep-pain-negative dogs after decompressive thoracolumbar hemilaminectomy for acute intervertebral disc extrusion.

Journal: Veterinary surgery : VS

PMID: 40130766

Abstract

OBJECTIVE: To develop and compare machine-learning algorithms to predict recovery of ambulation after decompressive surgery for acute intervertebral disc extrusion (IVDE).

Authors

Daniel Low

University of California, Los Angeles, CA, 90024, USA.
Sophie Stables

Anderson Moores Veterinary Specialists, Winchester, UK.
Laura Kondrotaite

Northwest Veterinary Specialists, Sutton Weaver, UK.
Ben Garland

Debenham Vets Surgical Referrals, Stowmarket, UK.
Scott Rutherford

Frank. Pet Surgeons, Leeds, UK.

Keywords

Algorithms Animals Decompression, Surgical Dog Diseases Dogs Female Intervertebral Disc Displacement Laminectomy Lumbar Vertebrae Machine Learning Male Recovery of Function Retrospective Studies Thoracic Vertebrae

External Resources

View on PubMed Access via DOI PubMed (40130766)

Machine-learning-based prediction of functional recovery in deep-pain-negative dogs after decompressive thoracolumbar hemilaminectomy for acute intervertebral disc extrusion.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals