AI for Mental Health Assessment and Intervention:  A Systematic Review

Danial Karimzadeh; Amin Saeedi

doi:10.63053/ijset.65

Authors

Danial Karimzadeh MA in Information Technology Management, Department of Information Technology Management, Faculty of Management, Islamic Azad University E-Campus, Tehran, Iran PhD Student in Computer Engineering - Artificial Intelligence and Robotics, Department of Computer Engineering, Faculty of Engineering, Islamic Azad University of Central Tehran Branch, Tehran, Iran
Amin Saeedi Master of Information Technology Engineering - Software Design and Production, Department of Computer and Information Technology, Faculty of Engineering, Islamic Azad University, West Tehran Branch, Tehran, Iran PhD Student in Computer Engineering - Artificial Intelligence and Robotics, Department of Computer Engineering, Faculty of Engineering, Islamic Azad University of Central Tehran Branch, Tehran, Iran

DOI:

https://doi.org/10.63053/ijset.65

Keywords:

Artificial Intelligence (AI), Mental Health Assessment, AI Chatbots, Machine Learning, Personalized Mental Health Interventions, Wearable Devices, Mental Health Services, Ethics in AI, Health Technology, Healthcare Accessibility

Abstract

Mental health-related illnesses are said to be the biggest global concern affecting millions of such persons worldwide with high rates of disability. Though the demand for services related to mental health has increased, there has been a cumulative lack of mental health professionals, trend most prevalent in low-resource areas. Well-designed Artificial Intelligence (AI) has been a blessing in disguise for most people as it improves diagnostic accuracy, accentuates individualized therapy, and advances access to mental health services. Artificial Intelligence (AI) has been offering innovative age-old solutions by enhancing mental health assessments, customized interventions, and accessibility. AI has been using different tools such as machine learning algorithms, AI chatbots, and wearable devices for mental health diagnosis, therapy, and monitoring. Nevertheless, the ethical issues regarding the use of such tools coupled with lack of user engagement and non-integration into existing health care systems are still existent. This review compiles different studies starting from 2024 until 2025 concerning the use of AI in mental health, examining feasibility, effective measures, and future possibilities for revolutionizing mental health care delivery.

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