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Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention

Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention
Author(s)/Editor(s): Information Resources Management Association (USA)
Copyright: ©2023
DOI: 10.4018/978-1-6684-7544-7
ISBN13: 9781668475447
ISBN10: 1668475448
EISBN13: 9781668475454

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Description

Medical imaging provides medical professionals the unique ability to investigate and diagnose injuries and illnesses without being intrusive. With the surge of technological advancement in recent years, the practice of medical imaging has only been improved through these technologies and procedures. It is essential to examine these innovations in medical imaging to implement and improve the practice around the world.

The Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention investigates and presents the recent innovations, procedures, and technologies implemented in medical imaging. Covering topics such as automatic detection, simulation in medical education, and neural networks, this major reference work is an excellent resource for radiologists, medical professionals, hospital administrators, medical educators and students, librarians, researchers, and academicians.



Table of Contents

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Reviews and Testimonials

Regarding article 5, "Fairness and Ethics in Artificial Intelligence-Based Medical Imaging":

"Given the vast number of issues concerning usage, failure, success, strategies, and applications of medical imaging, the Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention encompasses the most pertinent research on the applications, impacts, uses, and strategies of medical imaging. This chapter addresses safety and regulatory barriers that impede data sharing in medicine as well as potential changes to existing techniques and frameworks that might allow ethical data sharing for machine learning. With these developments in view, the authors also present different algorithmic models that are being used to develop machine learning-based medical systems that will potentially evolve to be free of the sample, annotator, and temporal bias.“

– Prof. Thomas Heinrich Musiolik, Berlin University of the Arts, Germany

Author's/Editor's Biography

Information Resources Management Association (Ed.)
Information Resources Management Association (IRMA) is a research-based professional organization dedicated to advancing the concepts and practices of information resources management in modern organizations. IRMA's primary purpose is to promote the understanding, development and practice of managing information resources as key enterprise assets among IRM/IT professionals. IRMA brings together researchers, practitioners, academicians, and policy makers in information technology management from over 50 countries.

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