Abstract
Mental health disorders represent a significant global public health challenge, affecting millions annually and contributing substantially to global disability. Despite the prevalence of these conditions, many individuals do not receive adequate care due to barriers such as stigma, lack of resources, and insufficient access to qualified professionals. This article explores the transformative potential of Artificial Intelligence (AI) in mental health care, focusing on its applications in diagnosis, treatment, and ongoing support. By leveraging advanced algorithms, machine learning, and natural language processing, AI can enhance the accuracy and efficiency of mental health diagnoses, personalize treatment plans, and provide continuous support through digital platforms. The article also addresses the technical, clinical, and societal challenges associated with integrating AI into mental health care and emphasizes the importance of interdisciplinary collaboration and ethical considerations. The goal is to inform stakeholders, including healthcare professionals, policymakers, and researchers, about the opportunities AI presents and advocate for its responsible and ethical use in mental health.
Keywords
Artificial Intelligence (AI), Machine Learning, Natural Language Processing (NLP), Mental Health, Diagnosis.
Citations
IRE Journals:
Samson Oseiwe Ajadalu , Rockson Amoah-Saah , Joseph Chibueze Orsuamaeze , Chidi Godwin Nweke , Bukola Eunice Adegboye
"AI for Mental Health: Improving Diagnosis, Treatment, and Support" Iconic Research And Engineering Journals Volume 8 Issue 3 2024 Page 461-468
IEEE:
Samson Oseiwe Ajadalu , Rockson Amoah-Saah , Joseph Chibueze Orsuamaeze , Chidi Godwin Nweke , Bukola Eunice Adegboye
"AI for Mental Health: Improving Diagnosis, Treatment, and Support" Iconic Research And Engineering Journals, 8(3)
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