%0 Journal Article
%A Andreas Fontalis
%A Baixiang Zhao
%A Pierre Putzeys
%A Fabio Mancino
%A Shuai Zhang
%A Thomas Vanspauwen
%A Fabrice Glod
%A Ricci Plastow
%A Evangelos Mazomenos
%A Fares S. Haddad
%T Is it feasible to develop a supervised learning algorithm incorporating spinopelvic mobility to predict impingement in patients undergoing total hip arthroplasty?
%D 2024
%J Bone & Joint Open
%P 671-680
%V 5
%N 8
%R 10.1302/2633-1462.58.BJO-2024-0020.R1
%U https://doi.org/10.1302/2633-1462.58.BJO-2024-0020.R1
%K Impingement,Total hip arthroplasty,Supervised learning,Artificial intelligence,Offset,Spinopelvic mobility,Sacral slope,Robotic-arm assistance,Virtual range of motion,Pelvic incidence,total hip arthroplasty (THA),spinopelvic mobility,radiographs,pelvis,flexion,biomechanics,robotic arm,prospective cohort study,hips,acetabular component