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Depression is a pervasive mental health disorder affecting millions worldwide, with traditional therapeutic approaches such as medication and psychotherapy serving as the primary modes of treatment. However, the limitations of these methods, including variable patient responses and challenges in accessibility, have driven the exploration of innovative solutions. This paper investigates the integration of Artificial Intelligence (AI) into traditional therapies, proposing a hybrid approach to enhance the efficacy of depression treatment. AI technologies, including chatbots, predictive analytics, and personalized virtual therapy, offer significant potential to complement existing treatments by providing continuous support, tailoring interventions to individual needs, and improving patient adherence. Through a review of current literature, this paper discusses the applications, benefits, and ethical considerations of AI in mental health, highlighting its transformative role in augmenting traditional therapeutic practices.
Husnain et al. (Tue,) studied this question.