Critical analysis uncovers AI-driven tools improving psychosomatic care, indicating enhanced treatment options.
The global prevalence of mental health disorders continues to rise despite expanded access to treatment, exposing the limitations of therapeutic models rooted in Cartesian dualism that separate psychological from physical care. Psychosomaticization research has long established a strong association between mental health disorders and somatic symptoms, yet therapeutic integration remains hindered by fragmented approaches and methodological challenges. This paper examines how advancing technologies, particularly artificial intelligence and digital health innovations, can address these gaps by enabling more holistic, personalized, and accessible psychosomatic care. Through a critical analysis of AI-driven interventions, including adaptive hypnotherapy, symbolic translation systems, decision-support frameworks, digital cognitive-behavioral therapy, and tailored e-health tools, the paper highlights their potential to overcome traditional limitations in treating psychosomatic symptoms. However, it also underscores the importance of preserving therapeutic relationships and embodied subjectivity. Ultimately, the future of psychosomatic medicine depends on the ethical and collaborative integration of technology into clinical practice.
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Shekhar Saxena (2025) studied this question.
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