Annual Research Review: Translational machine learning for child and adolescent psychiatry

D Dwyer, N Koutsouleris - Journal of Child Psychology and …, 2022 - Wiley Online Library
Children and adolescents could benefit from the use of predictive tools that facilitate
personalized diagnoses, prognoses, and treatment selection. Such tools have not yet been …

Machine learning in attention-deficit/hyperactivity disorder: new approaches toward understanding the neural mechanisms

M Cao, E Martin, X Li - Translational Psychiatry, 2023 - nature.com
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent and heterogeneous
neurodevelopmental disorder in children and has a high chance of persisting in adulthood …

Individually tailored dosage regimen of full-spectrum Cannabis extracts for autistic core and comorbid symptoms: a real-life report of multi-symptomatic benefits

PSS Montagner, W Medeiros, LCR da Silva… - Frontiers in …, 2023 - frontiersin.org
Autism Spectrum Disorders (ASD) may significantly impact the well-being of patients and
their families. The therapeutic use of cannabis for ASD has gained interest due to its …

Enhancing attention in children using an integrated cognitive-physical videogame: A pilot study

JA Anguera, MA Rowe, JJ Volponi, M Elkurdi… - NPJ digital …, 2023 - nature.com
Inattention can negatively impact several aspects of a child's life, including at home and
school. Cognitive and physical interventions are two promising non-pharmaceutical …

[HTML][HTML] Prediction of diagnosis and treatment response in adolescents with depression by using a smartphone app and deep learning approaches: usability study

JS Kim, B Wang, M Kim, J Lee, H Kim… - JMIR formative …, 2023 - formative.jmir.org
Background: Lack of quantifiable biomarkers is a major obstacle in diagnosing and treating
depression. In adolescents, increasing suicidality during antidepressant treatment further …

[HTML][HTML] The Adverse Effects and Nonmedical Use of Methylphenidate Before and After the Outbreak of COVID-19: Machine Learning Analysis

H Shin, CT Yuniar, SA Oh, S Purja, S Park… - Journal of Medical …, 2023 - jmir.org
Background Methylphenidate is an effective first-line treatment for attention-
deficit/hyperactivity disorder (ADHD). However, many adverse effects of methylphenidate …

Setting the foundations of developmental precision psychiatry for ADHD

S Cortese - American Journal of Psychiatry, 2021 - Am Psychiatric Assoc
Pharmacotherapy is an important component of the multimodal treatment of attention deficit
hyperactivity disorder (ADHD). Medications approved by the US Food and Drug …

Low Doses of Melatonin to Improve Sleep in Children with ADHD: An Open-Label Trial

A Checa-Ros, A Muñoz-Hoyos, A Molina-Carballo… - Children, 2023 - mdpi.com
Objective. Only a few studies assessing the sleep effects of low doses of melatonin (aMT)
have been performed in the past, most of them in adults, and only one in subjects with …

Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques

S Saggu, H Daneshvar, R Samavi, P Pires… - BMC Medical Informatics …, 2024 - Springer
Abstract Background The proportion of Canadian youth seeking mental health support from
an emergency department (ED) has risen in recent years. As EDs typically address urgent …

[HTML][HTML] Neuroimaging-based deep learning in autism spectrum disorder and attention-deficit/hyperactivity disorder

JW Song, NR Yoon, SM Jang, GY Lee… - Journal of the Korean …, 2020 - ncbi.nlm.nih.gov
Deep learning (DL) is a kind of machine learning technique that uses artificial intelligence to
identify the characteristics of given data and efficiently analyze large amounts of information …