@article{ATM28525,
author = {Azeem Tariq Malik and Safdar N. Khan},
title = {Predictive modeling in spine surgery},
journal = {Annals of Translational Medicine},
volume = {7},
number = {Suppl 5},
year = {2019},
keywords = {},
abstract = {As the cost of healthcare in the United States increases at an unsustainable rate, health-policy leaders are looking towards innovative ways to maximize value in delivery of care. Incorporating technology, such as artificial intelligence/machine-learning, to assist physicians in decision-making and predicting outcomes, on a real-time basis, is a major topic of discussion. While machine learning is gradually pulling traction in the medical community, it still remains a nascent field in the realm of spine surgery. The current review aims to gather current literature discussing the validity and applicability of machine-learning models in spine surgery.},
issn = {2305-5847}, url = {https://atm.amegroups.org/article/view/28525}
}