University of Cincinnati Feb 5 2026 Diagnosing substance-use disorder can be difficult because of patient denial related to the stigma attached to addiction. But a new study by the University of Cincinnati uses a novel artificial intelligence to predict substance use defining behaviors with up to 83% accuracy and 84% accuracy to predict the severity of the addiction. Researchers say this could allow clinicians to provide treatment faster to patients who need it. The clinical standard for