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Handbook of Artificial Intelligence in Healthcare

Vol. 1 - Advances and Applications

  • Book
  • © 2022

Overview

Editors:
  1. Chee-Peng Lim

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

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  2. Ashlesha Vaidya

    1. Royal Adelaide Hospital, Adelaide, Australia

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  3. Kiran Jain

    1. St. Joseph’s Hospital and Medical Center, Stockton, USA

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  4. Virag U. Mahorkar

    1. Avanti Institute of Cardiology, Nagpur, India

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  5. Lakhmi C. Jain

    1. KES International, Shoreham-by-Sea, UK

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  • Provides a comprehensive overview of Artificial Intelligence in Healthcare
  • Focuses on Recent Advances in Healthcare Data Analytics
  • Is written by experts in the field

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 211)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xvii
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  2. Advances in AI for Healthcare Signal, Image, and Video Processing

    1. Front Matter

      Pages 1-1
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    2. Advances in Artificial Intelligence for the Identification of Epileptiform Discharges

      • Aikaterini Karampasi, Kostakis Gkiatis, Ioannis Kakkos, Kyriakos Garganis, George K. Matsopoulos
      Pages 3-25

    3. Characterizing EEG Electrodes in Directed Functional Brain Networks Using Normalized Transfer Entropy and PageRank

      • Kaushik Suresh, Vijayalakshmi Ramasamy, Ronnie Daniel, Sushil Chandra
      Pages 27-49

    4. Autistic Verbal Behavior Language Parameterization

      • Daniela López De Luise, Ben Raúl Saad, Tiago Ibacache, Christian Saliwonczyk, Pablo Pescio, Lucas Soria
      Pages 51-82

    5. Case Studies to Demonstrate Real-World Applications in Ophthalmic Image Analysis

      • Beatriz Remeseiro, Verónica Bolón-Canedo
      Pages 83-125

    6. Segmentation of Petri Plate Images for Automatic Reporting of Urine Culture Tests

      • Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli, Paolo Andreini
      Pages 127-151

    7. Repurposing Routine Imaging for Cancer Biomarker Discovery Using Machine Learning

      • James W. Wang, Matt Williams
      Pages 153-176

    8. Automatic Detection of LST-Type Polyp by CNN Using Depth Map

      • Yuji Iwahori, Shota Miyazaki, Hiroyasu Usami, M. K. Bhuyan, Boonserm Kijsirikul, Aili Wang et al.
      Pages 177-196

    9. Artificial Intelligence and Deep Learning, Important Tools in Assisting Gastroenterologists

      • M. Luca, A. Ciobanu, T. Barbu, V. Drug
      Pages 197-213

    10. Last Advances on Automatic Carotid Artery Analysis in Ultrasound Images: Towards Deep Learning

      • Maria del Mar Vila, Beatriz Remeseiro, Maria Grau, Roberto Elosua, Laura Igual
      Pages 215-247

    11. Radiomics and Its Application in Predicting Microvascular Invasion of Hepatocellular Carcinoma

      • Weibin Wang, Qingqing Chen, Risheng Deng, Fang Wang, Yutaro Iwamoto, Lanfen Lin et al.
      Pages 249-266

    12. Artificial Intelligence in Remote Photoplethysmography: Remote Heart Rate Estimation from Video Images

      • Zhaolin Qiu, Lanfen Lin, Hao Sun, Jiaqing Liu, Yen-Wei Chen
      Pages 267-283

  3. Advances in AI for Healthcare Information and Data Analytics

    1. Front Matter

      Pages 285-285
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    2. Mining Data to Deal with Epidemics: Case Studies to Demonstrate Real World AI Applications

      • Christina Nousi, Paraskevi Belogianni, Paraskevas Koukaras, Christos Tjortjis
      Pages 287-312

    3. A Powerful Holonic and Multi-Agent-Based Front-End for Medical Diagnostics Systems

      • Zohreh Akbari, Rainer Unland
      Pages 313-352

    4. Computer-Aided Detection of Depressive Severity Using Multimodal Behavioral Data

      • Jiaqing Liu, Yue Huang, Shurong Chai, Hao Sun, Xinyin Huang, Lanfen Lin et al.
      Pages 353-371

    5. Classifying Process Traces for Stroke Management Quality Assessment: A Deep Learning Approach

      • Giorgio Leonardi, Stefania Montani, Manuel Striani
      Pages 373-387

    6. Synergy-Net: Artificial Intelligence at the Service of Oncological Prevention

      • Ruggiero Bollino, Giampaolo Bovenzi, Francesco Cipolletta, Ludovico Docimo, Michela Gravina, Stefano Marrone et al.
      Pages 389-424

    7. New Insights on Implementing and Evaluating Artificial Intelligence in Cardiovascular Care

      • S. Dykstra, J. White, M. L. Gavrilova
      Pages 425-456
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Keywords

About this book

This handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. 

The advent of digital and computing technologies has created a surge in the development of AI methodologies and their penetration to a variety of activities in our daily lives in recent years. Indeed, researchers and practitioners have designed and developed a variety of AI-based systems to help advance health and well-being of humans.

In this first volume, we present a number of latest studies in AI-based tools and techniques from two broad categories, viz., medical signal, image, and video processing as well as healthcare information and data analytics in Part 1 and Part 2, respectively. These selected studies offer readers practical knowledge and understanding pertaining to the recent advances and applications of AI in the healthcare sector.   

Editors and Affiliations

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

    Chee-Peng Lim

  • Royal Adelaide Hospital, Adelaide, Australia

    Ashlesha Vaidya

  • St. Joseph’s Hospital and Medical Center, Stockton, USA

    Kiran Jain

  • Avanti Institute of Cardiology, Nagpur, India

    Virag U. Mahorkar

  • KES International, Shoreham-by-Sea, UK

    Lakhmi C. Jain

About the editors

  

Bibliographic Information

  • Book Title: Handbook of Artificial Intelligence in Healthcare

  • Book Subtitle: Vol. 1 - Advances and Applications

  • Editors: Chee-Peng Lim, Ashlesha Vaidya, Kiran Jain, Virag U. Mahorkar, Lakhmi C. Jain

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-030-79161-2

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-030-79160-5Published: 18 September 2021

  • Softcover ISBN: 978-3-030-79163-6Published: 18 September 2022

  • eBook ISBN: 978-3-030-79161-2Published: 17 September 2021

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: XVII, 456

  • Number of Illustrations: 21 b/w illustrations, 133 illustrations in colour

  • Topics: Computational Intelligence, Biomedical Engineering and Bioengineering, Health Informatics

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