Using Artificial Intelligence to Enhance Ongoing Psychological Interventions for Emotional Problems in Real- or Close to Real-Time: A Systematic Review
Ver/ Abrir
Impacto
Scholar |
Otros documentos de la autoría: Gual-Montolio, Patricia; Jaén, Irene; Martínez-Borba, Verónica; Suso-Ribera, Carlos; Castilla, Diana
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/8033
comunitat-uji-handle3:10234/8636
comunitat-uji-handle4:
INVESTIGACIONMetadatos
Título
Using Artificial Intelligence to Enhance Ongoing Psychological Interventions for Emotional Problems in Real- or Close to Real-Time: A Systematic ReviewAutoría
Fecha de publicación
2022-06-24Editor
MDPICita bibliográfica
Citation: Gual-Montolio, P.; Jaén, I.; Martínez-Borba, V.; Castilla, D.; Suso-Ribera, C. Using Artificial Intelligence to Enhance Ongoing Psychological Interventions for Emotional Problems in Real- or Close to Real-Time: A Systematic Review. Int. J. Environ. Res. Public Health 2022, 19, 7737. https://doi.org/10.3390/ ijerph19137737Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.mdpi.com/1660-4601/19/13/7737Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Emotional disorders are the most common mental disorders globally. Psychological treatments have been found to be useful for a significant number of cases, but up to 40% of patients
do not respond to psychotherapy ... [+]
Emotional disorders are the most common mental disorders globally. Psychological treatments have been found to be useful for a significant number of cases, but up to 40% of patients
do not respond to psychotherapy as expected. Artificial intelligence (AI) methods might enhance
psychotherapy by providing therapists and patients with real- or close to real-time recommendations
according to the patient’s response to treatment. The goal of this investigation is to systematically
review the evidence on the use of AI-based methods to enhance outcomes in psychological interventions in real-time or close to real-time. The search included studies indexed in the electronic
databases Scopus, Pubmed, Web of Science, and Cochrane Library. The terms used for the electronic
search included variations of the words “psychotherapy”, “artificial intelligence”, and “emotional
disorders”. From the 85 full texts assessed, only 10 studies met our eligibility criteria. In these,
the most frequently used AI technique was conversational AI agents, which are chatbots based
on software that can be accessed online with a computer or a smartphone. Overall, the reviewed
investigations indicated significant positive consequences of using AI to enhance psychotherapy and
reduce clinical symptomatology. Additionally, most studies reported high satisfaction, engagement,
and retention rates when implementing AI to enhance psychotherapy in real- or close to real-time.
Despite the potential of AI to make interventions more flexible and tailored to patients’ needs, more
methodologically robust studies are needed. [-]
Entidad financiadora
Universitat Jaume I
Código del proyecto o subvención
PREDOC-2019/05
Derechos de acceso
© 2022 by the authors
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
Aparece en las colecciones
- PSB_Articles [1310]