Predicting the variables that could lead to damaging alcohol use in post-surgical cases may spur lifesaving interventions, a USC study finds.
A screening tool developed with artificial intelligence and trained on hundreds of hours of patient interviews could flag risks for relapse in liver transplant patients with alcohol use disorder — and prompt precise interventions, according to a new USC study.
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