BRAIN. Broad Research in Artificial Intelligence and Neuroscience

Volume: 16 | Issue: 1 Sup1

Efficacy and Efficiency of Computer-Assisted Cognitive Stimulation in the Rehabilitation of Patients with Psychiatric Disorders: A Retrospective Analysis of Training Strategies and Intervention Duration

Andreea-Cătălina Moroșan - Grigore T. Popa University Medicine and Pharmacy (RO), George-Cătălin Moroșan - Grigore T. Popa University of Medicine and Pharmacy (RO), Irina Săcuiu - Grigore T. Popa University of Medicine and Pharmacy (RO), Romeo-Petru Dobrin - Grigore T. Popa University of Medicine and Pharmacy (RO), Ana-Maria Dumitrescu - Grigore T. Popa University of Medicine and Pharmacy (RO), Lucia Corina Dima Cozma - Grigore T. Popa University of Medicine and Pharmacy (RO), Florin Dumitru Petrariu - Grigore T. Popa University of Medicine and Pharmacy (), Gabriel Dăscălescu - Alexandru Ioan Cuza University (RO), Daniela-Camelia Lepădatu - Centre Hospitalier Départemental de la Candélie (FR), Mihaela Bragaru - Essex Partnership NHS Foundation Trust (GB), Roxana Chiriță - Grigore T. Popa University of Medicine and Pharmacy (RO),

Abstract

In recent years, the integration of technology into mental health interventions has shown promising results. This retrospective study analyses the efficacy and efficiency of computer-assisted cognitive stimulation (CACS) among a group of 92 psychiatric patients, of whom 32 were randomly selected to benefit from a personalised intervention. Data were collected on demographic variables (age, education level, urban/rural area), psychiatric diagnoses, therapeutic regimens, and scores on validated psychometric scales, Mini Mental State Examination (MMSE), and Montreal Cognitive Assessment (MoCA), assessed before and after the intervention. Detailed metrics related to the training modules, such as the number of sessions, level achieved and duration of each session were also analysed. The results indicate statistically significant increases in MMSE (from 22.94 to 24.31, p < 0.001) and MoCA (from 22.06 to 24.22, p < 0.001) scores after CACS therapy, highlighting notable improvements in cognitive functions. The robust correlations between changes in scores suggest a positive impact of the intervention on cognitive performance.  However, the retrospective nature of the study imposes certain limitations such as the potential influence of confounding variables, the lack of rigorous control of the intervention and the impossibility of establishing direct causal relationships. In addition, these results support the opportunity to integrate artificial intelligence (AI) components in the development of educational interventions in mental health, opening new directions for future research in the field. 


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DOI: http://dx.doi.org/10.70594/brain/16.S1/23

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