Revolutionary Machine Learning Method Enhances Prediction of Spine Surgery Outcomes

Researchers at the AI for Health Institute at Washington University in St. Louis have developed a machine-learning method to predict recovery from spine surgery more accurately. The team, including Chenyang Lu and Jacob Greenberg, used Fitbit data and other health data to create a model that outperforms previous ones. The model considers both physical and mental health factors that influence surgical recovery. The research, published in the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, could help doctors tailor treatment plans and identify high-risk factors before surgery.