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  • © 2022

Handbook of Artificial Intelligence in Healthcare

Vol 2: Practicalities and Prospects

  • Presents a sample of recent advances in the theory and applications of artificial Intelligence

  • Presents advances of AI applications in big data, deep Learning...etc

  • Written by experts in the field

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 212)

Buying options

eBook USD 139.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-83620-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 179.99
Price excludes VAT (USA)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xvii
  2. Practicalities of AI Methodologies in Healthcare

    1. Front Matter

      Pages 1-1
    2. Intelligent Paradigms for Diagnosis, Prediction and Control in Healthcare Applications

      • Adriana Albu, Radu-Emil Precup, Teodor-Adrian Teban
      Pages 3-41
    3. Artificial Intelligence in Healthcare Practice: How to Tackle the “Human” Challenge

      • Stefano Triberti, Ilaria Durosini, Davide La Torre, Valeria Sebri, Lucrezia Savioni, Gabriella Pravettoni
      Pages 43-60
    4. Wearable Accelerometers in Cancer Patients

      • Seema Dadhania, Matthew Williams
      Pages 109-147
    5. Online Application of a Home-Administered Parent-Mediated Program for Children with ASD

      • Margarita Stankova, Tsveta Kamenski, Polina Mihova, Todor Datchev
      Pages 149-167
    6. Explainable AI, But Explainable to Whom? An Exploratory Case Study of xAI in Healthcare

      • Julie Gerlings, Millie Søndergaard Jensen, Arisa Shollo
      Pages 169-198
    7. Biases in Assigning Emotions in Patients Due to Multicultural Issues

      • David Casacuberta, Jordi Vallverdú
      Pages 215-228
  3. Prospects of AI Methodologies in Healthcare

    1. Front Matter

      Pages 229-229
    2. Artificial Intelligence in Healthcare: Directions of Standardization

      • Hoc Group on Application of AI Technologies
      Pages 231-257
    3. Development of Artificial Intelligence in Healthcare in Russia

      • A. Gusev, S. Morozov, G. Lebedev, A. Vladzymyrskyy, V. Zinchenko, D. Sharova et al.
      Pages 259-279
    4. Robotics in Healthcare

      • Dmitrii Kolpashchikov, Olga Gerget, Roman Meshcheryakov
      Pages 281-306
    5. Smart Healthcare, IoT and Machine Learning: A Complete Survey

      • Valerio Bellandi, Paolo Ceravolo, Ernesto Damiani, Stefano Siccardi
      Pages 307-330
    6. Digital Business Models in the Healthcare Industry

      • Nathalie Hoppe, Felix Häfner, Ralf Härting
      Pages 331-356
    7. Advances in XAI: Explanation Interfaces in Healthcare

      • Cristina Manresa-Yee, Maria Francesca Roig-Maimó, Silvia Ramis, Ramon Mas-Sansó
      Pages 357-369
    8. Medical Knowledge Graphs in the Discovery of Future Research Collaborations

      • Nikolaos Giarelis, Nikos Kanakaris, Nikos Karacapilidis
      Pages 371-391
    9. Biometric System De-identification: Concepts, Applications, and Open Problems

      • Md. Shopon, A. S. M. Hossain Bari, Yajurv Bhatia, Pavan Karkekoppa Narayanaswamy, Sanjida Nasreen Tumpa, Brandon Sieu et al.
      Pages 393-422

About this book

Artificial Intelligence (AI) has transformed many aspects of our daily activities. Health and well-being of humans stand as one of the key domains where AI has achieved significant progresses, saving time, costs, and potentially lives, as well as fostering economic resilience, particularly under the COVID-19 pandemic environments.

This book is a sequel of the Handbook of Artificial Intelligence in Healthcare. The first volume of the Handbook is dedicated to present advances and applications of AI methodologies in several specific areas, i.e., signal, image, and video processing as well as information and data analytics. In this second volume of the Handbook, general practicality challenges and future prospects of AI methodologies pertaining to healthcare and related domains are presented in Part 1 and Part 2, respectively.

It is envisaged that the selected studies will provide readers a general perspective on the issues, challenges, and opportunities in designing, developing, and implementing AI-based tools and solutions in the healthcare sector, bringing benefits to transform and advance health and well-being development of humans.

Keywords

  • Artificial Intelligence
  • Deep Learning
  • Intelligent Technology
  • Assistive Technology
  • healthcare

Editors and Affiliations

  • Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, Australia

    Chee-Peng Lim

  • College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan

    Yen-Wei Chen

  • Royal Adelaide Hospital, Adelaide, Australia

    Ashlesha Vaidya

  • Avanti Institute of Cardiology, Nagpur, India

    Charu Mahorkar

  • KES International, Shoreham-by-Sea, UK

    Lakhmi C. Jain

Bibliographic Information

Buying options

eBook USD 139.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-83620-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 179.99
Price excludes VAT (USA)