*Result*: Mind Meets Machine: A Narrative Review of Artificial Intelligence Role in Clinical Psychology Practice.
Title:
Mind Meets Machine: A Narrative Review of Artificial Intelligence Role in Clinical Psychology Practice.
Authors:
Calderone A; IRCCS Centro Neurolesi Bonino-Pulejo, Messina, Italy., Latella D; IRCCS Centro Neurolesi Bonino-Pulejo, Messina, Italy., Fauci E; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy., Puleo R; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy., Sergi A; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy., Francesco M; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy., Mauro M; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy., Foti A; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy., Salemi L; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy., Calabrò RS; IRCCS Centro Neurolesi Bonino-Pulejo, Messina, Italy.
Source:
Clinical psychology & psychotherapy [Clin Psychol Psychother] 2025 Nov-Dec; Vol. 32 (6), pp. e70191.
Publication Type:
Journal Article; Review
Language:
English
Journal Info:
Publisher: John Wiley & Sons Country of Publication: England NLM ID: 9416196 Publication Model: Print Cited Medium: Internet ISSN: 1099-0879 (Electronic) Linking ISSN: 10633995 NLM ISO Abbreviation: Clin Psychol Psychother Subsets: MEDLINE
Imprint Name(s):
Original Publication: Chichester, West Sussex, England : John Wiley & Sons, c1993-
MeSH Terms:
References:
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Contributed Indexing:
Keywords: artificial intelligence; clinical psychology; data privacy; digital phenotyping; ethical frameworks; machine learning; natural language processing
Entry Date(s):
Date Created: 20251205 Date Completed: 20251205 Latest Revision: 20251211
Update Code:
20260130
DOI:
10.1002/cpp.70191
PMID:
41346105
Database:
MEDLINE
*Further Information*
*Background/objectives: Clinical psychology is undergoing a profound transformation with the integration of artificial intelligence (AI) technologies. While the field has traditionally advanced from psychodynamic theories to cognitive-behavioural and evidence-based approaches, the emergence of AI presents both unprecedented opportunities and new challenges. This narrative review accordingly critically evaluates the integration of AI into clinical psychology practice, encompassing the continuum from assessment and diagnosis to intervention and follow-up care. It applies an analytic lens that differentiates clinically validated tools from experimental prototypes, and it appraises study quality against contemporary standards.
Methods: We conducted a comprehensive narrative review of the recent literature, focusing on studies and expert opinions regarding the application of machine learning (ML), deep learning (DL) and natural language processing (NLP) in psychological assessment and therapy, the use of digital phenotyping through smartphones and wearables and the implementation of AI-assisted care models in clinical practice.
Results: AI technologies are increasingly used to automate assessment scoring and analyse multimodal data, enhancing objectivity and scalability while requiring ongoing clinician oversight to address bias and interpretability issues. In therapeutic contexts, AI-driven conversational agents and hybrid 'AI-in-the-loop' systems show promise in supporting engagement and personalization, though ethical and relational concerns remain.
Conclusions: AI offers opportunities for selected assessment, monitoring and triage tasks, but evidence remains heterogeneous. Clinical integration should be incremental and evaluative, prioritizing external validation, calibration and patient-centred outcomes.
(© 2025 John Wiley & Sons Ltd.)*