Artificial Intelligence in the Clinical Context: A Supportive Tool for Psychological Diagnosis and Treatment to Enhance the Quality of Mental Health Services
DOI:
https://doi.org/10.55074/hesj.vi51.1683Keywords:
Artificial Intelligence, Mental Health, Psychotherapy, Clinical Diagnosis, Digital Applications, Professional EthicsAbstract
The study aimed to identify the role of artificial intelligence in supporting psychological diagnosis and treatment processes, and to explore how it can be harnessed to enhance the efficiency and quality of mental-health services. The researcher employed a qualitative analytical approach, in which the study questions were presented to mental-health practitioners, developers of intelligent psychological applications, and artificial-intelligence experts. Data were collected using an instrument designed by the researcher, and subsequently analyzed using appropriate analytical procedures. The study concluded that the most widely used AI applications in mental-health practice include algorithm-assisted diagnostic tools, therapeutic chatbots, and mood-monitoring systems integrated into smartphones. Participants generally viewed these applications as moderately effective, noting that they contribute significantly to improving service efficiency by accelerating diagnostic processes, enhancing patient follow-up, and reducing administrative burdens. The findings also indicated that several challenges hinder optimal integration of AI technologies, most notably concerns related to data confidentiality, the absence of clear legal accountability frameworks, algorithmic biases, and the potential loss of the human dimension essential to therapeutic relationships. Despite these challenges, the study highlighted promising prospects for the development of AI-supported care, particularly through strengthening blended therapeutic models in which AI functions as an assistant rather than a replacement for clinicians, alongside the need to promote continuous professional training for mental-health practitioners.Downloads
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