Work

Developing and validating machine learning models to predict acetabular cup size in total hip arthroplasty

Year: 2025

Type: conference-paper

Abstract: Objectives and questions: Adequate implant inventory management can improve efficiency, storage space, and result in cost savings in arthroplasty. This study investigates if the prediction of cup size in elective primary total hip arthroplasty (THA) cound be improved with the use of advanced machine [for full text, please go to the a.m. URL]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/25dkou500

Authors: Öttl, Felix Conrad, Weinblatt, Aaron, Chalmers, Brian, Kolin, David, Gonzalez Della Valle, Alejandro

Institutions: Hospital for Special Surgery, Universitätsklinik Balgrist

Language: English

Topic: Orthopaedic implants and arthroplasty

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7103144605

FWCI:

Cites:

Cited by:

Related to: