Artificial Intelligence in Mental Health Services: A Summary of a Literature Review


( Last Updated : August 17, 2021)

Page Type:
Tool

This summary tool summarizes findings from a literature review that evaluated the published evidence on AI for the prevention, diagnosis, and treatment of mental health illnesses. It also summarizes findings on the clinical effectiveness of AI applications, purpose of use, patient populations, primary users, and related evidence-based guidelines.

See the full report: Artificial Intelligence and Machine Learning in Mental Health Services: A Literature Review

This summary is based on a literature review that was commissioned by The Mental Health Commission of Canada to address the role of AI in mental health services. This report is a companion to an Environmental Scan, which provides more information on the types and trends of AI either emerging or currently in use for the prevention, diagnosis, or treatment of mental health problems and illnesses, and AI research and development initiatives in Canada and internationally [Artificial Intelligence and Machine Learning in Mental Health Services: An Environmental Scan. Ottawa: Canadian Agency for Drugs and Technology in Health (CADTH), Mental Health Commission of Canada (MHCC); 2021 June.]

To access other CADTH reports and resources on the topic of mental health, visit the Evidence on Mental Health bundle.