[HTML][HTML] Can we predict who will benefit from cognitive-behavioural therapy? A systematic review and meta-analysis of machine learning studies

S Vieira, X Liang, R Guiomar, A Mechelli - Clinical Psychology Review, 2022 - Elsevier
Cognitive-behavioural therapy (CBT) is the first line of treatment for several mental health
disorders. However, not all patients show clinical improvements after receiving CBT …

Technology use for adolescent health and wellness

A Radovic, SM Badawy - Pediatrics, 2020 - publications.aap.org
As avid users of technology, adolescents are a key demographic to engage when designing
and developing technology applications for health. There are multiple opportunities for …

Overall goal of cognitive-behavioral therapy in major psychiatric disorders and suicidality: a narrative review

G Serafini, A Costanza, A Aguglia, A Amerio… - Medical …, 2023 - medical.theclinics.com
Cognitive-behavioral therapy (CBT) is a form of psychological treatment that is based on the
underlying assumption that mental disorders and psychological distress are maintained by …

Which client with generalized anxiety disorder benefits from a mindfulness ecological momentary intervention versus a self-monitoring app? Developing a …

NH Zainal, MG Newman - Journal of anxiety disorders, 2024 - Elsevier
Precision medicine methods (machine learning; ML) can identify which clients with
generalized anxiety disorder (GAD) benefit from mindfulness ecological momentary …

The default mode network is associated with changes in internalizing and externalizing problems differently in adolescent boys and girls

Y Lee, R Chahal, IH Gotlib - Development and Psychopathology, 2024 - cambridge.org
Internalizing and externalizing problems that emerge during adolescence differentially
increase boys' and girls' risk for developing psychiatric disorders. It is not clear, however …

A Generic Review of Integrating Artificial Intelligence in Cognitive Behavioral Therapy

M Jiang, Q Zhao, J Li, F Wang, T He, X Cheng… - arXiv preprint arXiv …, 2024 - arxiv.org
Cognitive Behavioral Therapy (CBT) is a well-established intervention for mitigating
psychological issues by modifying maladaptive cognitive and behavioral patterns. However …

Predicting non-improvement of symptoms in daily mental healthcare practice using routinely collected patient-level data: a machine learning approach

K Franken, P Ten Klooster, E Bohlmeijer… - Frontiers in …, 2023 - frontiersin.org
Objectives Anxiety and mood disorders greatly affect the quality of life for individuals
worldwide. A substantial proportion of patients do not sufficiently improve during evidence …

Translational Connectomics: overview of machine learning in macroscale Connectomics for clinical insights

J Anbarasi, R Kumari, M Ganesh, R Agrawal - BMC neurology, 2024 - Springer
Connectomics is a neuroscience paradigm focused on noninvasively mapping highly
intricate and organized networks of neurons. The advent of neuroimaging has led to …

Development of a model to predict psychotherapy response for depression among veterans

HN Ziobrowski, R Cui, EL Ross, H Liu… - Psychological …, 2023 - cambridge.org
Background Fewer than half of patients with major depressive disorder (MDD) respond to
psychotherapy. Pre-emptively informing patients of their likelihood of responding could be …

The effects of cognitive-behavioral therapy (CBT) in well-being and perceived stress in adolescents with low academic performance during the COVID-19 pandemic

N Shahrokhian, S Hassanzadeh… - … Journal of Sport …, 2021 - journals.kmanpub.com
Background: The COVID-19 pandemic is one of the serious issues which has affected
mental health in the world. One of the age groups whose learning processes are highly …