Opioids are a broad group of effective pain-relieving medicines that can become highly addictive in some individuals. According to government sources, nearly 40 million people are addicted to illicit drugs worldwide.
Jun 13 2024University of California - San Diego In 2017, the U.S. Department of Health and Human Services declared the opioid crisis a national public health emergency. To combat the opioid epidemic, researchers at University of California San Diego School of Medicine will develop an AI model that will more accurately predict opioid addiction in high-risk patients.
Rodney Gabriel, MD, lead researcher for the project, chief of perioperative informatics in the Department of Anesthesiology at UC San Diego School of Medicine and clinical director of anesthesiology at UC San Diego Health "GenAI provides more sophisticated ways to predict multiple outcomes based on patterns discovered from large patient datasets," Gabriel said. "We want to better predict risk of addiction the moment a patient is given an opioid prescription to the moment they would start to become addicted."
Related Stories"What will be gained from this project will be translatable to many other areas of a patient's health care journey, resulting in better outcomes and care." For Karandeep Singh, MD, who was named the inaugural chief health AI officer at UC San Diego Health, real-world evaluations of GenAI's potential are critical.
Opioid Addiction Anesthesiology Artificial Intelligence Drugs Genomic Health And Human Services Health Care Medicine Opioids Pain Public Health
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