artificial intelligence

The article explores how artificial intelligence (AI) is currently used — and could be used — in the field of addiction research and treatment. The authors note that AI (machine learning, data mining, predictive analytics) offers...

AGENDA 2025 FDA Perspective: Generative Artificial Intelligence-Enabled (GenAI) Digital Mental Health Medical Devices FDA Perspective: Regulatory Considerations for Digital Mental Health Therapeutics Topic 1: Large Language Models in...

This article reviews the main ethical issues that arise from the use of artificial intelligence (AI) technologies in medicine. Issues around trust, responsibility, risks of discrimination, privacy, autonomy, and potential benefits and harms...

Introduction Addiction medicine is becoming more of an issue as addiction-related problems continue to plague people all over the globe, resulting in serious health consequences. Addiction has become increasingly prevalent in recent years...

Purpose of the Review: Psychotherapy remains a fundamental component of mental health treatment, yet it encounters significant barriers to accessibility and efficacy. The integration of digital therapies, encompassing e-Health, m-Health...

Objectives: This study systematically reviewed research on the utilization of chatbot-related technologies for the prevention, assessment, and treatment of various substance uses, including alcohol, nicotine, and other drugs. Methods...

The article reports on an NIH-supported clinical trial showing that an artificial intelligence (AI)–based screening tool for opioid use disorder (OUD) can improve hospital outcomes without reducing quality of care. Embedded in the...

The study examines whether artificial intelligence can reliably predict the use of specific substances in Finland, including cannabis, ecstasy, amphetamine, cocaine and non-prescribed medicines. Using data from the 2022 Finnish National...

ISSUP, in collaboration with ICUDDR, present a webinar on Reimagining Prevention: The Role of Generative AI.