A team of surgeons, working in collaboration with the Cedars-Sinai Department of Computational Biomedicine, is using artificial intelligence and machine learning to predict which patients are most likely to successfully manage their pain post-surgery, and which patients might need additional assistance.
"This project uses artificial intelligence algorithms to analyze millions of data points and predict which patients may need additional help with pain management after surgery," says Jason Moore, chair of the Department of Computational Biomedicine at Cedars-Sinai Medical Center, Los Angeles.
The algorithm makes a prediction based on a subset of the data, then tests its own predictions against new subsets, and continually improves and updates the methodology as it learns more, crunching thousands of variables at a time.
The notion is "to teach AI to understand the value of humans," Moore says.
From Cedars-Sinai Medical Center
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