Log in to save to my catalogue

Preoperative Prediction of Optimal Femoral Implant Size by Regularized Regression on 3D Femoral Bone...

Preoperative Prediction of Optimal Femoral Implant Size by Regularized Regression on 3D Femoral Bone...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a5fa0ff7ba2f451ea1f92dabed2b7c52

Preoperative Prediction of Optimal Femoral Implant Size by Regularized Regression on 3D Femoral Bone Shape

About this item

Full title

Preoperative Prediction of Optimal Femoral Implant Size by Regularized Regression on 3D Femoral Bone Shape

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2023-03, Vol.13 (7), p.4344

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Preoperative determination of implant size for total knee arthroplasty surgery has numerous clinical and logistical benefits. Currently, surgeons use X-ray-based templating to estimate implant size, but this method has low accuracy. Our study aims to improve accuracy by developing a machine learning approach that predicts the required implant size...

Alternative Titles

Full title

Preoperative Prediction of Optimal Femoral Implant Size by Regularized Regression on 3D Femoral Bone Shape

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a5fa0ff7ba2f451ea1f92dabed2b7c52

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a5fa0ff7ba2f451ea1f92dabed2b7c52

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app13074344

How to access this item