Artificial intelligence and machine learning is successful in predicting clinical outcomes after hip arthroscopy for femoroacetabular impingement syndrome
Authors
Bradley A. Lezak (ORCID: https://orcid.org/0000-0001-9802-290X)
Benedict U. Nwachukwu (ORCID: https://orcid.org/0000-0002-6170-7769)
Michael G. Rizzo (ORCID: https://orcid.org/0000-0003-3307-9328)
Katherine L. Esser (ORCID: https://orcid.org/0009-0008-8907-0094)
Thomas J. Youm (ORCID: https://orcid.org/0000-0003-0417-3593)
Heath P. Gould (ORCID: https://orcid.org/0000-0002-8941-8811)
Artificial intelligence and machine learning is successful in predicting clinical outcomes after hip arthroscopy for femoroacetabular impingement syndrome
Bradley A. Lezak, Benedict U. Nwachukwu, Michael G. Rizzo, Katherine L. Esser et al.
Journal
Knee Surgery Sports Traumatology Arthroscopy
Topics
Hip disorders and treatments
article
Artificial intelligence and machine learning is successful in predicting clinical outcomes after hip arthroscopy for femoroacetabular impingement syndrome
Bradley A. Lezak, Benedict U. Nwachukwu, Michael G. Rizzo, Katherine L. Esser, Thomas J. Youm, Heath P. Gould, Ayoosh Pareek, Anil S. Ranawat, Griff G. Gosnell
article en
Abstract
No abstract available for this paper.
Publication Tag
Knee Surgery Sports Traumatology ArthroscopyVol. 33(11)
Institutions
Hospital for Special Surgery (US), University of Miami (US), NYU Langone Health (US), New York University (US)