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Artificial Intelligence-Driven Metaverse Integration in Smart Healthcare - (Paperback)

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Book Synopsis Artificial Intelligence-Driven Metaverse Integration in Smart Healthcare: Advancing Personalized and Predictive Medical Capabilities offers a comprehensive exploration of cutting-edge technologies and their transformative potential in healthcare. The book delves into the application of artificial intelligence (AI) in the healthcare sector, examining machine learning algorithms, natural language processing, and computer vision to enhance healthcare delivery. It also introduces the metaverse, an immersive virtual environment, and explores its integration into medical practices, patient engagement, and health-related experiences. This is an invaluable resource for researchers and practitioners in biomedical fields, health informatics, and personalized and predictive medical systems. In 26 chapters, the book discusses how the convergence of AI and the metaverse contributes to the development of smart healthcare systems that are more efficient, accessible, and personalized. It highlights AI's role in customizing medical treatments, diagnostics, and patient care, leading to more effective healthcare experiences. Additionally, it explores predictive analytics and modeling using AI to prevent diseases, optimize treatments, and improve healthcare outcomes. Providing insights into the current state of AI in healthcare and the potential of metaverse integration, the book includes case studies, practical applications, and future perspectives.

  • Features
    • Artificial Intelligence-Driven Metaverse Integration in Smart Healthcare: Advancing Personalized and Predictive Medical Capabilities offers a comprehensive exploration of cutting-edge technologies and their transformative potential in healthcare.
    • Author(s): Joseph Bamidele Awotunde & Fuqian Shi & Subhendu Kumar Pani & Jing Shi
    • 522 Pages
    • Science, Life Sciences

Specifications

Dimensions (Overall)

10.91 Inches (H) x 8.31 Inches (W) x 1.01 Inches (D)

Weight

2.73 Pounds

Suggested Age

22 Years and Up

Number of Pages

522

Genre

Science

Sub-Genre

Life Sciences

Publisher

Academic Press

Theme

Biology

Format

Paperback

Author

Joseph Bamidele Awotunde & Fuqian Shi & Subhendu Kumar Pani & Jing Shi

Language

English

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