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Artificial Intelligence in Healthcare

First International Conference, AIiH 2024, Swansea, UK, September 4–6, 2024, Proceedings, Part I

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Xianghua Xie

    1. Swansea University, Swansea, UK

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  2. Iain Styles

    1. Queen's University, Belfast, UK

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  3. Gibin Powathil

    1. Swansea University, Swansea, UK

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  4. Marco Ceccarelli

    1. University of Rome Tor Vergata, Rome, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14975)

Included in the following conference series:

Conference proceedings info: AIiH 2024.

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About this book

The two-volume set LNCS 14975 + 14976 constitutes the proceedings of the First International Conference on Artificial Intelligence in Healthcare, AIiH 2024, which took place in Swansea, UK, in September 2024.

The 47 full papers included in the proceedings were carefully reviewed and selected from 70 submissions. They were organized in the following topical sections:

Part I: Personalised Healthcare and Medicine; AI driven early diagnosis and prevention; AI driven robotics for healthcare; AI in mental health; 

Part II: AI in proactive care and intervention; AI-aided medical imaging and analysis; Medical signal and image processing; Assisted living technology; Digital twinning, virtual pathology and oncology; Patient data, privacy and ethics.

Keywords

Table of contents (23 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Personalised Healthcare and Medicine

    1. Front Matter

      Pages 1-1
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    2. Assessing the Significance of Longitudinal Data in Alzheimer’s Disease Forecasting

      • Batuhan K. Karaman, Mert R. Sabuncu
      Pages 3-16

    3. GraphDDI: Graph Neural Network for Prediction of Drug-Drug Interaction

      • Suyash Gupta, Siddhartha Laghuvarapu, U. Deva Priyakumar
      Pages 17-30

    4. Augmenting Infrequent Relationships in Clinical Language Models with Graph-Encoded Hierarchical Ontologies

      • Suraj Ramchand, Xianghua Xie
      Pages 31-44

    5. Identifying Clusters on Multiple Long-Term Conditions for Adults with Learning Disabilities

      • Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan
      Pages 45-58

    6. Interpreting Pretrained Speech Models for Automatic Speech Assessment of Voice Disorders

      • Hok Shing Lau, Mark Huntly, Nathon Morgan, Adesua Iyenoma, Biao Zeng, Tim Bashford
      Pages 59-72

  3. AI Driven Early Diagnosis and Prevention

    1. Front Matter

      Pages 73-73
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    2. Word or Phoneme? To Optimise Prosodic Features to Predict Lung Function with Helicopter Task

      • Biao Zeng, Hok Shing Lau, Mark Huntly, Tim Bashford, Nathan Morgan, Chelsea Williams et al.
      Pages 75-84

    3. Electrical Impedance Spectroscopy Based Preterm Birth Prediction with Machine Learning

      • Mengxiao Wang, Zi-Qiang Lang, Di Zhang, D. O. C. Anumba
      Pages 85-97

    4. Transfer Learning in Hypoglycemia Classification

      • Beyza Cinar, Florian Grensing, Louisa van den Boom, Maria Maleshkova
      Pages 98-109

    5. A Comparative Analysis of Eleven Augmentation Techniques for Enhanced Retinal Pathology Recognition

      • Mahdi Hadef, Said Yacine Boulahia, Abdenour Amamra
      Pages 110-119

    6. Multi-stage Chronic Kidney Disease Classification on Longitudinal Data

      • Ali Guran, Gary K. L. Tam, James Chess, Xianghua Xie
      Pages 120-133

    7. Contrastive Multitask Transformer for Hospital Mortality and Length-of-Stay Prediction

      • Fergus Pick, Xianghua Xie, Lin Yuanbo Wu
      Pages 134-145

  4. AI Driven Robotics for Healthcare

    1. Front Matter

      Pages 147-147
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    2. Development of Life Support Devices by Using Inclusive Design

      • Eiichiro Tanaka
      Pages 149-159

    3. Design and Operation Requirements for an Ankle Assisting Device

      • Giovanni Mastrangelo, Marco Ceccarelli, Matteo Russo
      Pages 160-169

    4. Promoting Healthy Eating Habits via Intelligent Virtual Assistants, Improving Monitoring by Nutritional Specialists: State of the Art

      • Jaime Cruz Casados, Miriam Janet Cervantes López, Richard de Jesús Gil Herrera
      Pages 170-184

    5. Exploration of AI-Enhanced Wearable Devices for Advanced Cardiovascular Monitoring in the Elderly

      • Daniele Cafolla
      Pages 185-197

    6. Development of a Control Algorithm for an Ankle Joint Rehabilitation Device

      • Nursultan Zhetenbayev, Gani Sergazin, Gulzhamal Tursunbayeva, Arman Uzbekbayev, Batyrkhan Kyrykbayev
      Pages 198-208
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Other volumes

  1. Artificial Intelligence in Healthcare

  2. Artificial Intelligence in Healthcare

Editors and Affiliations

  • Swansea University, Swansea, UK

    Xianghua Xie, Gibin Powathil

  • Queen's University, Belfast, UK

    Iain Styles

  • University of Rome Tor Vergata, Rome, Italy

    Marco Ceccarelli

Bibliographic Information

  • Book Title: Artificial Intelligence in Healthcare

  • Book Subtitle: First International Conference, AIiH 2024, Swansea, UK, September 4–6, 2024, Proceedings, Part I

  • Editors: Xianghua Xie, Iain Styles, Gibin Powathil, Marco Ceccarelli

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-67278-1

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-67277-4Published: 14 August 2024

  • eBook ISBN: 978-3-031-67278-1Published: 13 August 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVII, 311

  • Number of Illustrations: 11 b/w illustrations, 86 illustrations in colour

  • Topics: Artificial Intelligence, Machine Learning, Computer Imaging, Vision, Pattern Recognition and Graphics, Computer Applications

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