🔘 Book page
-Open Access address: link.springer.com/content/pdf/10.1007%2F978-3-319-94878-2.pdf -Paid version address: bit.ly/2PbrKBX
📌 Open access to this book is the initiative of Springer Naturea and the authors. A gesture that the scientific community (us in particular) appreciates publicly. For your review and personal analysis, copy and paste the address of the book page in your browser. The educational and research community will also thank you for evaluating this information (above) and for making rational and timely personal comments. Using appropriate language at all times. Special attention must be paid to the technical, ethical and labor implications of Artificial Intelligence (AI). It will affect us all. And it is everyone’s responsibility.
“This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.”. (Source: link.springer.com/book/10.1007/978-3-319-94878-2#about).
- Introduction: Game Changers in Radiology
- The Role of Medical Image Computing and Machine Learning in Healthcare
- A Deeper Understanding of Deep Learning
- Deep Learning and Machine Learning in Imaging: Basic Principles
- How to Develop Artificial Intelligence Applications
(Unofficial biography. For informational purposes only– Source: webpage bok at Springer)
Dr Erik R. Ranschaert, MD, PhD, is currently radiologist at the ETZ Hospital in Tilburg, the Netherlands, and vice-president of the European Society of Medical Imaging Informatics (EuSoMII). Dr. Ranschaert was trained in radiology at KU Leuven University Hospital in Belgium and graduated in 1994. On July 14th 2016 he was awarded a PhD in Medical Sciences at the University of Antwerp, with a thesis titled: “The Impact of Information Technology on Radiology Services”. He is certified as Imaging Informatics Professional by the ABII in 2017. He was chairman of the ECR Computer Applications Subcommittee in 2008 and member of the ESR eHealth and informatics subcommittee in 2014 – 2016. He is the first author or co-author of more than 20 peer-reviewed articles and he gave more than 40 lectures on invitation, most topics related to his thesis and imaging informatics.
Sergey Morozov, MD, MPH, PhD is Professor of Radiology and CEO of Radiology Research and Practice Center in Moscow, Russia. Dr. Morozov was trained in clinical imaging at Sechenov Moscow Medical University and clinical effectiveness at Harvard School of Public Health in 2002-2006. He became Chief of Radiology at the Central Clinical Hospital in Moscow in 2007-2012 and then at the European Medical Center in 2013-2015. He is Executive Director of Russian Society of Radiology, President of European Society of Medical Imaging Informatics, past chairman of Imaging Informatics subcommittee of ECR, member of ECR 2019 Program planning committee, RSNA Education Exhibits Awards Committee. He is certified as Imaging Informatics Professional by ABII in 2017. Prof. Dr. Morozov is a renowned expert in clinical imaging, healthcare management and informatics and is the co-author of more than 100 journal articles and 15 book chapters.
Dr Paul Algra MD PhD, Northwest Hospital Group, Alkmaar, The Netherlands, is trained as radiologist in Leiden University Hospital and as neuroradiologist in Free University Amsterdam. His PhD thesis (1992) was on CT and MRI of vertebral metastases. He was vice-president of Dutch Radiological Society. He is member of scientific committee CAR, board member of EuSoMII and editorial board member of several radiology journals. He (co) authored around 50 articles in peer reviewed journals and served as department chief and program director for more than 15 years.
🔘 ⚠ Book
Take a look to this article from The European Society of Medical Imaging Informatics (EuSoMII) for more information about at: www.eusomii.org/the-1st-book-on-artificial-intelligence-in-medical-imaging/
Please thank the Publisher and authors
Thank you very much for this work to @eranrad and @sergemoroz_md and @ThijsAlgra, via @States_AI_IA #medicine #medicalimaging #radiology #ebook #free #openscience #openaccess #ai #artificialintelligence #ia #thebibleaiTweet
Liked this post? Follow this blog to get more.