Advanced Technologies in Substance Use Disorders (SUDs)

Abstract

Substance use disorders (SUDs) pose a significant challenge in healthcare, marked by the compulsive use of substances despite negative consequences. Traditional methods of treatment and diagnosis, while somewhat effective, have limitations such as high costs, lengthy processes, and vulnerability to human error. This book chapter explores how integrating machine learning (ML) and artificial intelligence (AI) can address these issues and examines the transformative potential of advanced technologies in improving understanding, treatment, and prevention of SUDs and behavioral addictions. The chapter reviews recent research and developments, highlighting how these technologies enhance diagnosis, treatment prediction, outcomes, and risk assessment in SUDs. It merges insights from current studies with innovative AI tools like digital phenotyping, predictive modeling, and mobile health applications to demonstrate how AI can greatly improve outcomes for individuals with SUDs.

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