The Use and Potential of Artificial Intelligence for Supporting Clinical Observation of Child Behaviour

Duration: 10 mins Publication Date: 11 Jun 2024 Next Review Date: 11 Jun 2027 DOI: 10.13056/acamh.30343

Description

In this Video Abstract Professor Helen Minnis and Professor Alessandro Vinciarelli, discuss their co-authored CAMH journal Original Article ‘The use and potential of artificial intelligence for supporting clinical observation of child behaviour’. Observation of child behaviour provides valuable clinical information but often requires rigorous, tedious, repetitive and time expensive protocols. For this reason, tests requiring significant time for administration and rating are rarely used in clinical practice, however useful and effective they are. This article shows that Artificial Intelligence (AI), designed to capture and store the human ability to perform standardised tasks consistently, can alleviate this problem.

Learning Objectives

1. Demonstrate how an AI-powered version of the Manchester Child Attachment Story Task can identify, with over 80% concordance, children with insecure attachment aged between 5 and 9 years.
2. Discuss ethical issues to be considered if AI technology is to become a useful part of child mental health assessment and recommend practical next steps for the field.

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