The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders

Year : 2025 | Volume : 15 | Issue : 03 | Page : 34 40
    By

    Prabhsharan Kaur,

  • Ramandeep Kaur,

  • Rohit Mittal,

  1. Research Scholar, Department of Pharmaceutical Sciences, Guru Kashi University, Bathinda, Punjab, India
  2. Research Scholar, Department of Pharmaceutical Sciences, Guru Kashi University, Bathinda, Punjab, India
  3. Assistant Professor, Department of Pharmaceutical Sciences, Guru Kashi University, Bathinda, Punjab, India

Abstract

Artificial intelligence (AI) has significantly changed many aspects of medical care, particularly the early evaluation, therapy, and management of neurodegenerative illnesses like Alzheimer’s, disease, Parkinson’s diseases, and Huntington’s diseases. The current research explores the application of AI in mental health with respect to neurological disorders, especially advancements in cognitive examination, neuroimaging analysis, predictive modeling, and customized therapy modalities. Artificial intelligence (AI) systems have shown enormous potential in detecting minute biomarkers from speech patterns, brain scans, and genetic data that are frequently ignored by traditional techniques.
Proactive therapeutic interventions are made achievable by the outstanding accuracy with which predictive models trained on persistent datasets can predict the progression of a disease. Clinicians may develop an improved knowledge of the dynamics of disease by using AI-driven neuroimaging techniques that can independently segment different parts of the brain, identify patterns of atrophy, and monitor modifications over time. Further, scalable, continuous evaluations that may recognize early cognitive impairment and customise therapy strategies based to patient profiles can be provided by AI-powered cognitive assessment systems. This article additionally addresses challenges like security of data, model interpretation, and ethical considerations that must be rectified for AI to be effectively utilized in clinical practice. Transparency and trust in medical decision-making are hampered by the black-box structure of many AI models. Building trust in AI-driven medical technologies demands guaranteeing patient privacy and following to healthcare laws like HIPAA and GDPR.
Moreover, in order to generate clinically appropriate, user-friendly remedies, computer engineers, neurological specialists, psychiatrists, and ethicists must collaborate together in incorporating AI systems into clinical procedures. Explainable AI, greater data-sharing frameworks, and collaborative efforts between disciplines should be the top concerns of future research. In order minimize bias and enhance model generalizability across different populations, it will also be essential to boost the diversity and size of training datasets. AI has the potential to dramatically improve the exactness, performance, and customization of care in the management of neurological conditions by addressing these issues.

Keywords: Artificial Intelligence, Neurodegenerative Disorders, Machine Learning, Deep Learning, Predictive Modelling, Personalized Treatment, Neuroimaging, Biomarkers

[This article belongs to Research and Reviews : A Journal of Biotechnology ]

How to cite this article:
Prabhsharan Kaur, Ramandeep Kaur, Rohit Mittal. The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders. Research and Reviews : A Journal of Biotechnology. 2025; 15(03):34-40.
How to cite this URL:
Prabhsharan Kaur, Ramandeep Kaur, Rohit Mittal. The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders. Research and Reviews : A Journal of Biotechnology. 2025; 15(03):34-40. Available from: https://journals.stmjournals.com/rrjobt/article=2025/view=216493


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Regular Issue Subscription Review Article
Volume 15
Issue 03
Received 22/04/2025
Accepted 07/07/2025
Published 09/07/2025
Publication Time 78 Days
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