PT  - JOURNAL ARTICLE
AU  - Habboub, Ghaith
AU  - Berven, Sigurd
AU  - Ames, Christopher
AU  - Peterson, Thomas
AU  - Mroz, Thomas
TI  - Real-World Implementation of Artificial Intelligence/Machine Learning for Managing Surgical Spine Patients at 2 Academic Health Care Systems
AID  - 10.14444/8506
DP  - 2023 Jun 01
TA  - International Journal of Spine Surgery
PG  - S11--S17
VI  - 17
IP  - S1
4099  - https://www.ijssurgery.com/content/17/S1/S11.short
4100  - https://www.ijssurgery.com/content/17/S1/S11.full
SO  - Int J Spine Surg2023 Jun 01; 17
AB  - Decision-making in spine surgery is complex due to patients’ heterogeneity and complexity of spinal pathologies and the various surgical options applied to a given pathology. Artificial intelligence/machine learning algorithms provide an opportunity to improve patient selection, surgical planning, and outcomes. The purpose of this article is to present the experience and applications of in spine surgery at 2 large academic health care systems.