Social and Behavioral Sciences Commons^™

Artificial Intelligence: An Interprofessional Perspective On Implications For Geriatric Mental Health Research And Care, Brenna N. Renn, Matthew Schurr, Oleg Zaslavsky, Abhishek Pratap

Psychology Faculty Research

Artificial intelligence (AI) in healthcare aims to learn patterns in large multimodal datasets within and across individuals. These patterns may either improve understanding of current clinical status or predict a future outcome. AI holds the potential to revolutionize geriatric mental health care and research by supporting diagnosis, treatment, and clinical decision-making. However, much of this momentum is driven by data and computer scientists and engineers and runs the risk of being disconnected from pragmatic issues in clinical practice. This interprofessional perspective bridges the experiences of clinical scientists and data science. We provide a brief overview of AI with the main …