I discuss how AI has the potential to redefine the diagnosis and understanding of mental illnesses.

• Prediction of mental health disorders in teenagers
• Helping student's mental health and academic performance
• Preventing mental health disorders among healthcare workers
• Examples of AI technologies applied to mental health

References:

Tate AE, McCabe RC, Larsson H, Lundstrom S, Lichtenstein P, Kuja-Halkola R. Predicting mental health problems in adolescence using machine learning techniques. PLoS One. 2020;15(4):e0230389.

Rutter M, Kim-Cohen J, Maughan B. Continuities and discontinuities in psychopathology between childhood and adult life. J Child Psychol Psychiatry. 2006;47(3-4):276-95.

Pettersson E, Anckarsater H, Gillberg C, Lichtenstein P. Different neurodevelopmental symptoms have a common genetic etiology. J Child Psychol Psychiatry. 2013;54(12):1356-65.

Dwyer DB, Falkai P, Koutsouleris N. Machine Learning Approaches for Clinical Psychology and Psychiatry. Annu Rev Clin Psychol. 2018;14:91-118

Dekker I, De Jong EM, Schippers MC, De Bruijn-Smolders M, Alexiou A, Giesbers B. Optimizing Students' Mental Health and Academic Performance: AI-Enhanced Life Crafting. Front Psychol. 2020;11:1063.

Cosic K, Popovic S, Sarlija M, Kesedzic I, Jovanovic T. Artificial intelligence in prediction of mental health disorders induced by the COVID-19 pandemic among health care workers. Croat Med J. 2020;61(3):279-88.

Su C, Xu Z, Pathak J, Wang F. Deep learning in mental health outcome research: a scoping review. Transl Psychiatry. 2020;10(1):116.