Information Technology in Biomedicine

£199.50

Information Technology in Biomedicine

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

Biomedical engineering Computer applications in industry and technology Artificial intelligence

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Collection: Advances in Intelligent Systems and Computing

Language: English

Published by: Springer

Published on: 19th June 2025

Format: LCP-protected ePub

ISBN: 9783031955822


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.

AI and Image Analysis Applications in Medicine

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.

Biomedical Signal Processing

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.

Modeling, Simulation, and Therapy Support

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.

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