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Herausgeber: 
  • Abhinav Juneja
  • Samad Noeiaghdam
  • Bhardwaj Manish
  • Artificial Intelligence Methods and Applications Enabling Healthcare 5.0 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Vorankündigung
    Veröffentlichung:  ANGEKÜNDIGT (August 2026)  
    Genre:  Wirtschaft / Recht 
     
    Artificial Intelligence / Artificial Intelligence (AI) / Automatic control engineering / Communications engineering / telecommunications / COMPUTERS / Data Science / Machine Learning / Data Mining / Digital and information technologies# Legal aspects / Electrical Engineering
    ISBN:  9781032848020 
    EAN-Code: 
    9781032848020 
    Verlag:  Taylor and Francis 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 234 mm / B 156 mm / D  
    Seiten:  344 
    Illustration:  schwarz-weiss Illustrationen, Raster,schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss 
    Bewertung: Keine Bewertung vor Veröffentlichung möglich.
    Inhalt:

    Artificial intelligence (AI) technology is rapidly gaining popularity across various industries, not just in large corporations but also in our everyday lives. The healthcare sector has particularly benefited from the advancements in AI, as it has revolutionized the way diagnostic information is compiled and utilized to understand and treat diseases.

    Artificial Intelligence Methods and Applications Enabling Health 5.0 discusses the cutting-edge AI technology that is revolutionizing healthcare education. It explores how AI can enhance, broaden, and update the current healthcare standard, as it uncovers uncharted territory in the quest for the best applications of AI in healthcare. The book synthesizes recent advancements in healthcare decision-making and prediction, which are reshaping the focus of AI in this field. In addition, the book covers how AI is revolutionizing disease diagnosis and treatment within the medical community, providing unparalleled accuracy and efficiency. Lastly, real-time case studies and innovative work are included to offer a glimpse into the future possibilities and scope of AI in healthcare.

    This book will appeal to a wide range of readers, including those in healthcare, manufacturing, e-commerce, and automation, among others. Technology enthusiasts will also discover valuable insights into the significant progress being made in this field. There remains a constant pursuit of optimal solutions for real-time applications and this book aims to provide answers to this ongoing quest for innovation.

      



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