AI and transdiagnostic psychopathology: a narrative review from evidence-based clinical psychology
DOI:
https://doi.org/10.63969/ec113346Keywords:
Artificial intelligence, clinical psychology, transdiagnostic, evidence-basedAbstract
This narrative review examines recent scientific literature (2020–2025) on the use of artificial intelligence (AI) in addressing transdiagnostic psychological processes within evidence-based clinical psychology. It analyzes AI applications in the assessment, monitoring, and treatment of processes such as rumination, experiential avoidance, emotional regulation, perfectionism, and intolerance of uncertainty. Findings show that AI, through machine learning algorithms, therapeutic chatbots, digital phenotyping, and predictive models, enables more precise detection and modification of these shared processes across various mental disorders. The review concludes that AI, when applied ethically and responsibly, can significantly enhance clinical practice by offering a more preventive, personalized, and process-based approach.
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Copyright (c) 2025 Edson Pelayo Ticona Quispe, Nilton David Vilchez Galarza, Deyny Luzbeth Mamani Aracayo, Madeley Porto Lopez, Alberto Paz Huamaní (Autor/a)
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