Artificial intelligence in orthopedics: three strategies for deep learning with orthopedic specific imaging
Knee Surg Sports Traumatol Arthrosc
.
2022 Mar;30(3):758-761.
doi: 10.1007/s00167-021-06838-8.
Epub 2022 Jan 13.
Authors
Sunho Ko
1
2
,
Ayoosh Pareek
3
,
Du Hyun Ro
1
2
,
Yining Lu
3
,
Christopher L Camp
3
,
R Kyle Martin
4
,
Aaron J Krych
5
Affiliations
1
Department of Orthopedic Surgery, Seoul National University Hospital, Seoul, South Korea.
2
CONNECTEVE Co., Ltd, Seoul, South Korea.
3
Department of Orthopedic Surgery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
4
Department of Orthopedic Surgery, University of Minnesota, Minneapolis, MN, USA.
5
Department of Orthopedic Surgery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. krych.aaron@mayo.edu.
PMID:
35022826
DOI:
10.1007/s00167-021-06838-8
No abstract available
Publication types
Editorial
MeSH terms
Artificial Intelligence
Deep Learning*
Humans
Machine Learning
Orthopedic Procedures*
Orthopedics*