The Future of Clinical Psychology Using Artificial Intelligence for Advanced Diagnostic and Therapeutic Techniques
DOI:
https://doi.org/10.63053/ijhes.102Keywords:
Artificial Intelligence (AI), Clinical Psychology, Mental Illness Diagnosis, Mental Disorder Prevention, Psychological Data Analysis, Mental Health Interventions and CareAbstract
Clinical psychology has undergone profound changes in recent years due to significant advances in the field of artificial intelligence (AI). This article examines the role and impact of artificial intelligence in improving diagnostic and therapeutic methods in this field. With its ability to process large data sets, identify hidden patterns, and provide personalized solutions, artificial intelligence has enabled more accurate diagnosis of disorders such as depression, anxiety, and schizophrenia. Also, the combination of technologies such as virtual reality (VR) and deep learning with psychotherapy has created new methods for treating and monitoring patients.
Recent statistical studies show that AI-based tools can increase the accuracy of diagnosing mental disorders by up to 90% and improve the success rate of cognitive-behavioural treatments by up to 30%. Despite these advances, challenges such as privacy, high technology costs, and patient acceptance are barriers to its wider implementation.
This article analyzes statistics, reviews progress, and identifies existing challenges. It provides a comprehensive picture of the future of clinical psychology and shows that integrating artificial intelligence into this field can help improve the quality of psychological services and promote society's mental health.
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