Artificial Intelligence in Diagnosing Depression Through Behavioural Cues: A Diagnostic Accuracy Systematic Review and Meta-Analysis.

Aim: To synthesise existing evidence concerning the application of AI methods in detecting depression through behavioural cues among adults in healthcare and community settings.

Design: This is a diagnostic accuracy systematic review.

Methods: This review included studies examining different AI methods in detecting depression among adults.

The effectiveness of mental health-related theoretical education and clinical placement in mental health settings in changing the attitudes of health care students towards mental illness: A systematic review.

Background: People with mental illness are subject to stigma, which is the process of stereotyping, prejudice and discrimination. Patients' experience of discrimination from the health care community may be a barrier to help-seeking in mental illness. Mental health-related theoretical education and clinical placement in mental health settings during student years may reduce stigmatising attitudes towards mental illness.