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Bu sayfa, 26. Dünya Psikiyatri Kongresi'nde sunulan çalışmanın yapay zekâ desteğiyle hazırlanmış Türkçe özetidir. Çalışmanın sahibi sunan yazarlardır; atıf için orijinal kaynağa başvurun.

The use of artificial intelligence tools in psychiatric rehabilitation programs

The use of ai tools in psychiatric rehabilitation programs

Artificial intelligence can play a supportive role in psychiatric rehabilitation, from visualizing recovery goals to preparing psychoeducational materials, but it must remain under the supervision of a healthcare professional.

The presentation discusses the potential of artificial intelligence to support psychiatric rehabilitation through selected examples from the presenter’s own clinical practice and other possible applications described in the literature. In a psychiatric day rehabilitation program, generative AI was used to create personalized visualizations of patients’ recovery goals; images generated from patients’ accounts of their expectations were discussed in therapy sessions. This approach is suggested to help patients express their own understanding of recovery and strengthen their motivation for treatment. The second example concerns the preparation of psychoeducational materials for patients with depression, schizophrenia, and other mental disorders; information on symptoms, treatment, relapse prevention, lifestyle, and recovery is compiled and simplified using AI-assisted tools and, following clinical review, adapted to patients’ needs, converted into audio recordings or podcasts, and used in group psychoeducation. The literature describes broader applications, such as personalized education, conversational support, symptom monitoring, cognitive training, social skills development, and assistance with treatment planning; AI is suggested to improve the accessibility and appeal of programs, particularly for patients who have difficulty sustaining attention, reduced motivation, or a limited capacity to use written materials. In conclusion, the presentation emphasizes that generated content must be verified; that attention must be paid to confidentiality, ethical standards, digital literacy, and patient preferences; and that AI should complement, rather than replace, the therapeutic relationship, multidisciplinary care, and clinical judgment.

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