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AI and Digital Twins: A Breakthrough Approach to Mental Health Diagnosis and Therapy

AI and Digital Twins: A Breakthrough Approach to Mental Health Diagnosis and Therapy
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Author(s): Sanket Dan (JIS College of Engineering, India), Jayeeta Ghosh (JIS College of Engineering, India), Bikramjit Sarkar (JIS College of Engineering, India)and Jayshree Bhattacharya (JIS College of Engineering, India)
Copyright: 2025
Pages: 32
Source title: AI-Powered Digital Twins for Predictive Healthcare: Creating Virtual Replicas of Humans
Source Author(s)/Editor(s): Balasubramaniam S. (Kerala University of Digital Sciences, Innovation, and Technology, India)and Seifedine Kadry (Lebanese American University, Lebanon & Noroff University College, Norway)
DOI: 10.4018/979-8-3373-0538-7.ch007

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Abstract

Artificial intelligence (AI) has significantly impacted healthcare, particularly through the use of digital twin technology. This innovative method creates virtual replicas of patient care, improving health and therapy reactions. The integration of AI with digital twins offers significant potential for mental health diagnosis and therapy, enabling personalized treatment plans and enhancing patient engagement. Digital twins use extensive patient data, including genetic, environmental, and lifestyle characteristics, to better understand each patient's needs. They can also predict patients' reactions to medications or procedures, enabling proactive treatment changes. As technology advances, digital twins could detect early signs of mental health problems and track continuous changes in mental health status. The effectiveness of this strategy depends on data accessibility and quality, necessitating collaboration between data scientists, mental health specialists, and healthcare providers.

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