Is it feasible to develop a supervised learning algorithm incorporating spinopelvic mobility to predict impingement in patients undergoing total hip arthroplasty? A proof-of-concept study

Andreas Fontalis, Baixiang Zhao, Fabio Mancino, Pierre Putzeys, Thomas Vanspauwen, Fabrice Glod, Ricci Plastow, Evangelos Mazomenos, Fares Haddad

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
5 Downloads (Pure)

Fingerprint

Dive into the research topics of 'Is it feasible to develop a supervised learning algorithm incorporating spinopelvic mobility to predict impingement in patients undergoing total hip arthroplasty? A proof-of-concept study'. Together they form a unique fingerprint.

Engineering

Material Science

Computer Science

Nursing and Health Professions