Trustworthy AI in Cancer Imaging Research
By: and and and
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- Synopsis
- 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. This is an ideal resource for researchers from technical and clinical research sites, postgraduate students, and healthcare professionals in cancer imaging and beyond.
- Copyright:
- 2025
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783031899638
- Related ISBNs:
- 9783031899621
- Publisher:
- Springer Nature Switzerland
- Date of Addition:
- 07/09/25
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Science, Computers and Internet, Technology, Mathematics and Statistics, Medicine
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Ioanna Chouvarda
- Edited by:
- Sara Colantonio
- Edited by:
- Gianna Tsakou
- Edited by:
- Guang Yang
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- by Ioanna Chouvarda
- by Guang Yang
- by Sara Colantonio
- by Gianna Tsakou
- in Nonfiction
- in Science
- in Computers and Internet
- in Technology
- in Mathematics and Statistics
- in Medicine