Medical Xpress August 29, 2024
A machine learning algorithm performs well in predicting the risk of persistent opioid use after hand surgery, reports a study in the August issue of Plastic and Reconstructive Surgery.
“We found that a machine learning model performs well in identifying hand surgery patients who are more likely to become persistent opioid users,” comments ASPS Member Surgeon Kevin C. Chung, MD, MS, of University of Michigan, Ann Arbor.
“This may provide a more efficient strategy to identify high-risk patients and implement measures to prevent opioid addiction. Similarly, the use of artificial intelligence can facilitate a more personalized approach in prescribing the right pain medication in the optimal amount for a specific patient undergoing a particular operation.”
Two machine learning models tested...
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