Ioanna Chouvarda – författare

This book constitutes the refereed post-conference proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2023, held in Lisbon, Portugal, during February 16-18, 2023.The 7 regular papers  included in this book were carefully reviewed and selected from 246 submissions. They contribute to the understanding of relevant trends of current research on Biomedical Engineering Systems and Technologies, that include Pattern Recognition and Machine Learning, Decision Support Systems, Data Mining and Data Analysis, eHealth Applications, eHealth, Detection and Identification, Computational Intelligence, Cognitive Informatics, Big Data in Healthcare and Assistive Technologies.

The book covers multiple aspects and challenges, from legal to technical and validation, in the emerging topic of AI in cancer imaging, bringing together the experience of top researchers and flagship projects.The aim of this book is to address the important questions: “How to design AI that is trustworthy”, and “How to validate AI trustworthiness” in the scope of AI for cancer imaging research. The book discusses overall considerations and the generation of a framework; preparing for trustworthy AI, including the data and metadata for quality, transparency and traceability; implementing trustworthy AI with algorithms and Decision Support Systems; and validating trustworthy AI.Chapters 2 and 3 are available open access under a Creative Commons Attribution 4.0 International License via Springerlink.This is an ideal resource for researchers from technical and clinical research sites, postgraduate students, and healthcare professionals in cancer imaging and beyond.

The book covers multiple aspects and challenges, from legal to technical and validation, in the emerging topic of AI in cancer imaging, bringing together the experience of top researchers and flagship projects.The aim of this book is to address the important questions: “How to design AI that is trustworthy”, and “How to validate AI trustworthiness” in the scope of AI for cancer imaging research. The book discusses overall considerations and the generation of a framework; preparing for trustworthy AI, including the data and metadata for quality, transparency and traceability; implementing trustworthy AI with algorithms and Decision Support Systems; and validating trustworthy AI.Chapters 2 and 3 are available open access under a Creative Commons Attribution 4.0 International License via Springerlink.This is an ideal resource for researchers from technical and clinical research sites, postgraduate students, and healthcare professionals in cancer imaging and beyond.

The book covers multiple aspects and challenges, from legal to technical and validation, in the emerging topic of AI in cancer imaging, bringing together the experience of top researchers and flagship projects.The aim of this book is to address the important questions: “How to design AI that is trustworthy”, and “How to validate AI trustworthiness” in the scope of AI for cancer imaging research. The book discusses overall considerations and the generation of a framework; preparing for trustworthy AI, including the data and metadata for quality, transparency and traceability; implementing trustworthy AI with algorithms and Decision Support Systems; and validating trustworthy AI.Chapters 2 and 3 are available open access under a Creative Commons Attribution 4.0 International License via Springerlink.This is an ideal resource for researchers from technical and clinical research sites, postgraduate students, and healthcare professionals in cancer imaging and beyond.

This book constitutes the refereed proceedings of the 7th International Symposium on Biological and Medical Data Analysis, ISBMDA 2006, held in Thessaloniki, Greece, in December 2006. The 28 revised full papers and 16 revised poster papers presented were carefully reviewed and selected from 91 submissions. The papers are organized in topical sections on functional genomics, sequence and structure analysis, biomedical models, databases and grids, semantics and information modelling, biomedical signal processing - time series analysis, biomedical image analysis and visualisation techniques, biomedical data analysis and interpretation, as well as decision support systems and diagnostic tools.

This volume presents the proceedings of the 3rd ICBHI which took place in Thessaloniki on 18-21 November, 2017.The area of biomedical and health informatics is exploding at all scales. The developments in the areas of medical devices, eHealth and personalized health as enabling factors for the evolution of precision medicine are quickly developing and demand the development of new scaling tools, integration frameworks and methodologies.