TY - JOUR
T1 - Machine learning driven tools in orthopaedics and spine surgery
T2 - Hype or reality? Applications and perception of 31 physician opinions
AU - Lans, Amanda
AU - Oosterhoff, Jacobien H.F.
AU - Groot, Olivier Q.
AU - Fourman, Mitchell S.
N1 - Publisher Copyright:
© 2021 Elsevier Inc.
PY - 2021/6
Y1 - 2021/6
N2 - This narrative review focusses on the applications and implementation of artificial intelligence (AI) in spine surgery. We present examples of machine learning (ML) and deep learning (DL) applications, illustrating the potential of AI-derived technologies in supporting orthopaedic surgery, clinical decision making and educational purposes. We also describe the clinical hurdles that AI applications face. Finally, we present results from a survey evaluating the opinions of orthopaedic surgeons concerning the future of implementing AI-driven tools into orthopaedic and spine surgery.
AB - This narrative review focusses on the applications and implementation of artificial intelligence (AI) in spine surgery. We present examples of machine learning (ML) and deep learning (DL) applications, illustrating the potential of AI-derived technologies in supporting orthopaedic surgery, clinical decision making and educational purposes. We also describe the clinical hurdles that AI applications face. Finally, we present results from a survey evaluating the opinions of orthopaedic surgeons concerning the future of implementing AI-driven tools into orthopaedic and spine surgery.
UR - http://www.scopus.com/inward/record.url?scp=85107055154&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85107055154&partnerID=8YFLogxK
U2 - 10.1016/j.semss.2021.100871
DO - 10.1016/j.semss.2021.100871
M3 - Article
AN - SCOPUS:85107055154
SN - 1040-7383
VL - 33
JO - Seminars in Spine Surgery
JF - Seminars in Spine Surgery
IS - 2
M1 - 100871
ER -