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

Machine-learning algorithms outperform current methods of prognostication. Pending external validation, machine-learning algorithms may be useful as assistive tools for surgical decision making.

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Publication Details

Journal
Veterinary Surgery
Published
2025-03-25
DOI
https://doi.org/10.1111/vsu.14250
Citations
3
Primary Topic
Veterinary Orthopedics and Neurology
Type
article
Field-Weighted Citation Impact
7.06
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article

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

Simon Stables, Daniel Low, Ben William Garland, Scott Rutherford et al.
3 citations
Veterinary Surgery
Veterinary Orthopedics and Neurology
7.06
article

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

Simon Stables, Daniel Low, Ben William Garland, Scott Rutherford, Laura Kondrotaite
article en
3 citations

Abstract

Machine-learning algorithms outperform current methods of prognostication. Pending external validation, machine-learning algorithms may be useful as assistive tools for surgical decision making.

Veterinary SurgeryVol. 54(4)
Willows Veterinary Centre and Referral Service (GB)
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Veterinary Orthopedics and Neurology
7.06
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