Page 490 - Emerging Trends and Innovations in Web-Based Applications and Technologies

International Journal of Trend in Scientific Research and Development (IJTSRD)
Special Issue on Emerging Trends and Innovations in Web-Based Applications and Technologies
Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470

AI in Mental Health: Analyzing the Role of Mental Well in
Psychological Disorder Prevention and Management

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Ms. Juhi Purankar , Ms. Kiranjot Kaur Lehal , Prof. Jyoti Tiwari , Prof. Usha Kosarkar
1,2,3,4 Department of Science and Technology,
1,2,3,4 G H Raisoni College of Engineering and Management, Nagpur, Maharashtra, India

ABSTRACT Mental Well integrates data from diverse sources, such as
Artificial Intelligence (AI) has emerged as a transformative self-reported symptoms, behavioral patterns, and
tool in mental health care, offering innovative solutions for physiological signals, to assess mental health status in real
the prevention and management of psychological disorders. time. It empowers individuals with actionable insights and
This paper explores the role of Mental Well, an AI-driven clinicians with enhanced decision-making capabilities,
platform, in addressing key challenges in mental health. By fostering a proactive approach to mental well-being.
leveraging advanced algorithms, natural language Moreover, the platform incorporates evidence-based
processing, and machine learning, Mental Well provides practices, such as cognitive behavioral therapy (CBT)
early detection of mental health risks, personalized modules and stress reduction techniques, to offer holistic
therapeutic recommendations, and continuous monitoring care tailored to individual needs.
of patients’ emotional well-being.
This paper examines the role of Mental Well in addressing
The platform utilizes data from diverse sources, including the critical aspects of mental health prevention and
user-reported symptoms, behavioral patterns, and management. It explores the platform's ability to overcome
physiological metrics, to deliver accurate and timely traditional barriers to care, improve patient outcomes, and
insights. It facilitates preventive care by identifying contribute to a more accessible and inclusive mental health
potential mental health concerns before they escalate and care ecosystem.
supports clinicians with decision-making through real-time
analytics. Additionally, Mental Well empowers individuals Additionally, the discussion addresses ethical considerations,
to manage their mental health proactively via tailored including data privacy and algorithmic fairness,
interventions such as mindfulness exercises, cognitive underscoring the importance of responsible AI deployment
behavioral therapy (CBT) modules, and stress management in mental health. By analyzing the potential and limitations
techniques. of Mental Well, this study highlights the transformative role
of AI in reshaping mental health care for a healthier, more
This paper highlights the efficacy of AI in enhancing resilient society.
accessibility, efficiency, and outcomes in mental health care II. RELATED WORK
while addressing ethical considerations like data privacy The application of Artificial Intelligence (AI) in mental health
and algorithmic bias. The findings underscore the potential has gained significant traction in recent years, with
of AI-powered platforms like Mental Well in revolutionizing numerous studies and technologies demonstrating its
mental health prevention and treatment, paving the way for potential to transform psychological disorder prevention and
more integrated and patient-centered care systems.
management. This section highlights key advancements and
related works that provide context for the role of Mental
I. INTRODUCTION Well within the broader landscape of AI-driven mental
Mental health disorders represent a significant global health health care.
challenge, affecting millions of individuals and imposing
substantial social and economic burdens. Despite increased 1. AI for Early Detection of Mental Health Disorders
awareness and advocacy, barriers such as stigma, limited Research has shown that AI can identify early signs of mental
access to care, and resource constraints hinder timely health issues by analyzing diverse data sources, including
intervention and effective management of psychological speech patterns, social media activity, and physiological
disorders. In this context, Artificial Intelligence (AI) has signals. Platforms such as Woebot and Wysa utilize
emerged as a powerful enabler, offering innovative solutions conversational AI to detect emotional distress and provide
to address these challenges and revolutionize mental health real-time support, illustrating how AI can act as a first line of
care. defense in mental health care.
AI-powered tools have the potential to transform how 2. Personalized Therapeutic Interventions
mental health issues are identified, monitored, and treated. Several AI-driven tools focus on delivering personalized
By leveraging data-driven algorithms, natural language mental health interventions. For instance, tools like Ginger
processing, and machine learning, these tools can deliver and Mindstrong use machine learning algorithms to tailor
personalized and scalable mental health interventions. therapeutic content, such as mindfulness exercises and
Among these advancements is Mental Well, an AI-driven cognitive behavioral therapy (CBT) modules, to individual
platform designed to prevent and manage psychological needs. These platforms demonstrate the potential of AI in
disorders by providing early detection, tailored therapeutic delivering.
guidance, and continuous support.

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