With 80% accuracy, an AI-trained tool could help doctors identify which patients to treat for chronic pain.
A third of cancer patients face chronic pain -- a debilitating condition that can dramatically reduce a person's quality of life, even if their cancer goes into remission.
"We want to understand the factors that lead someone from having cancer to having chronic pain and how can we better manage these factors," said Lisiane Pruinelli, Ph.D., M.S., R.N., FAMIA, the senior author of the new study and a professor of family, community, and health systems science in the UF College of Nursing."Our goal is to link this information to some profile of patients so we can identify early on what patients are at risk for developing chronic pain.".
Implementing a model like this in doctors' offices would require integrating it into the electronic healthcare records systems that are now ubiquitous in clinics, which would take more research. The researchers said the rise of AI has the potential to help doctors tailor their treatments to a patient's unique disease characteristics.
The study was based on the large amount of data made available by the All of Us Research Program, a nationwide research campaign from the National Institutes of Health that seeks to collect anonymized healthcare records from 1 million Americans.
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