Machine learning and quantitative computed tomography radiomics prediction of postoperative functional recovery in paraplegic dogs

Radiomics features from noncontrast CT, when integrated into a multimodal machine-learning algorithm, may be useful as an assistive tool for surgical decision making.

Authors

Institutions

Publication Details

Journal
Veterinary Surgery
Published
2025-10-01
DOI
https://doi.org/10.1111/vsu.70016
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Machine learning and quantitative computed tomography radiomics prediction of postoperative functional recovery in paraplegic dogs

Daniel Low, Scott Rutherford
Veterinary Surgery
Radiomics and Machine Learning in Medical Imaging
article

Machine learning and quantitative computed tomography radiomics prediction of postoperative functional recovery in paraplegic dogs

Daniel Low, Scott Rutherford
article en

Abstract

Radiomics features from noncontrast CT, when integrated into a multimodal machine-learning algorithm, may be useful as an assistive tool for surgical decision making.

Veterinary SurgeryVol. 54(7)
Association of Surgeons of Great Britain and Ireland (GB)
Openalex Percentile: Top 59%
Radiomics and Machine Learning in Medical Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Machine learning and quantitative computed tomography radiomics prediction of postoperative functional recovery in paraplegic dogs — Daniel Low, Scott Rutherford · Veterinary Surgery (2025) | TGRS Research Map | TGRS