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Information Technology in Biomedicine

10th International Conference, ITIB 2025, Zabrze, Poland, June 23–25, 2025 Proceedings

  • Conference proceedings
  • Jul 2025

Overview

Editors:
  1. Pawel Badura

    1. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

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  2. Joanna Czajkowska

    1. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

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  3. Arkadiusz Gertych

    1. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

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  4. Jacek Kawa

    1. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

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  5. Ewa Piętka

    1. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

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  6. Wojciech Wieclawek

    1. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

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  • Shows recent research on Information Technologies in Medicine
  • Presents scientific outcome of the 10th International Conference Information Technologies in Biomedicine
  • Combines modern information technologies and clinical medicine

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1464)

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About this book

This book presents 10th International Conference Information Technologies in Biomedicine and shows research on Information Technologies in Medicine. The aim of this issue is to address the requirements for innovative technologies in computer-aided diagnosis and therapy and to indicate new areas of research, including the integration of multimodal data implemented in various fields of medical diagnostics. Fast and reliable data processing techniques able to deliver results in a user-friendly manner are discussed in three sections.

First, the AI and Image Analysis Applications in Medicine section features AI-driven studies for image processing, including comparisons of deep learning models for nuclear detection and segmentation, and optimal scanning settings for biological samples. It also covers the importance of multimodal imaging analysis in radiological studies and chronic wound treatment. Then, Biomedical Signal Processing section investigates the effect of music on brain activity through EEG signal analysis. Artificial intelligence-assisted speech diagnostics in children focuses on sound segmentation and speech disorder detection. The effect of electronic cigarettes is tested by comparing the ECG of smokers and the control group. Finally, Modeling, Simulation, and Therapy Support section presents technologies in patient care, including telemedicine for rehabilitation, analysis of neurodegenerative diseases, and therapeutic applications of music. Models for supporting chronic wound treatment and amblyopia therapy are described.

This book is a great reference tool for scientists who deal with problems of designing and implementing information processing tools employed in systems that assist the clinicians, radiologists, and physiotherapists in patient diagnosis and treatment. It also serves students in exploring innovations in quantitative medical data analysis, data mining, and artificial intelligence.

Keywords

  • Medical Information Systems
  • Biomedicine
  • Patient Care
  • Computer Assisted Diagnosis And Treatment
  • Telemedicine
  • Home Care
  • ITIB 2025

Editors and Affiliations

  • Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Pawel Badura

  • Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Joanna Czajkowska, Arkadiusz Gertych, Jacek Kawa, Ewa Piętka

  • Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Wojciech Wieclawek

Bibliographic Information

  • Book Title: Information Technology in Biomedicine

  • Book Subtitle: 10th International Conference, ITIB 2025, Zabrze, Poland, June 23–25, 2025 Proceedings

  • Editors: Pawel Badura, Joanna Czajkowska, Arkadiusz Gertych, Jacek Kawa, Ewa Piętka, Wojciech Wieclawek

  • Series Title: Advances in Intelligent Systems and Computing

  • 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 2025

  • Softcover ISBN: 978-3-031-95581-5Due: 27 July 2025

  • eBook ISBN: 978-3-031-95582-2Due: 27 July 2025

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XI, 307

  • Number of Illustrations: 79 b/w illustrations, 26 illustrations in colour

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