Filtering by: Artificial Intelligence
Oct
27
12:00 PM12:00

C-DIAS Virtual Grand Rounds: Majid Afshar

Clinical Implementation of AI-based Screening for Risk for Opioid Use Disorder in Hospitalized Adults

Majid Afshar, MD, MS
University of Wisconsin, School of Medicine and Public Health

ABSTRACT:
Dr. Majid Afshar will explore how artificial intelligence tools that process clinical notes—such as natural language processing and large language models—are being implemented in real-world hospital settings. He will share lessons from deploying AI systems to identify opioid misuse and support addiction care, highlighting both opportunities and risks. Drawing from the Learning Health System at the University of Wisconsin, he will offer pragmatic strategies for evaluating, monitoring, and continuously improving AI tools embedded in clinical workflows.

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Feb
2
12:00 PM12:00

PSMG: Leonard Bickman

Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health

Leonard Bickman, Ph.D.
Vanderbilt University

ABSTRACT:
This presentation describes the current state of mental health services, identifies critical problems, and suggests how to solve them. I focus on the potential contributions of artificial intelligence and precision mental health to improving mental health services. Toward that end, I draw upon my own research, which has changed over the last half century, to highlight the need to transform the way we conduct mental health services research and program development. I identify exemplars from the emerging literature on artificial intelligence and precision approaches to treatment in which there is an attempt to personalize or fit the treatment to the client in order to produce more effective interventions.

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