Predict+ uses machine learning to predict patient outcomes after shoulder replacement, according to a news release. It aims to help surgeons personalize treatment modalities for patients.
“By inputting data points like a patient’s age, surgical history, diagnosis, pain level and pre-operative range of motion, the Predict+ machine learning algorithms can predict the shoulder replacement outcomes for my patients based on thousands of other patients who have already had surgery,” Dr. Shah said in the release.
At the Becker's 23rd Annual Spine, Orthopedic and Pain Management-Driven ASC + The Future of Spine Conference, taking place June 11-13 in Chicago, spine surgeons, orthopedic leaders and ASC executives will come together to explore minimally invasive techniques, ASC growth strategies and innovations shaping the future of outpatient spine care. Apply for complimentary registration now.
