Commentary to "Translational machine learning for child and adolescent psychiatry". (7th March 2022)

• Record Type: Journal Article
• Authors: Davatzikos, Christos; Satterthwaite, Theodore D.
• Is Part Of: Journal of child psychology and psychiatry and allied disciplines. Volume 63:Number 4(2022)
• Page Start: 444
• Page End: 446
• Publication Date: 2022-03-07
• Subjects: Child psychology -- Periodicals; Child psychiatry -- Periodicals; 155.4
• DOI: 10.1111/jcpp.13593
• Languages: English
• ISSNs: 0021-9630

Abstract

Abstract : In this commentary on 'Translational Machine Learning for Child and Adolescent Psychiatry, ' by Dwyer and Koutsouleris, we summarize some of the main points made by the authors, which highlight the importance of emerging applications of machine learning for psychiatric disorders in youth but also emphasize principles of good practice. We also offer complementary insights regarding large‐scale training, harmonization, and the ability of these artificial intelligence models to adapt to new datasets, which is critical for their stability across imaging centers, and hence for their widespread clinical adoption.