Medical Xpress March 23, 2023
Clinicians and other professionals trying to stop the opioid crisis in the United States need all the tools they can to accurately identify communities at risk of large increases in deaths from opioid use and prevent deaths. A study led by a team of computer scientists at Stony Brook University and published in npj Digital Medicine presents a unique approach using artificial intelligence (AI) and social media posts to predict opioid mortality rates.
The findings revealed that a sophisticated AI algorithm was able to predict opioid death rates—going back from previous years 2011 to 2107—much more accurately than using traditional information researchers and clinicians often use, such as prior rates in communities and socio-economic measures.
According to the National Center...
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