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.
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