Artificial Intelligence in Pathology: Principles and Applications
provides a strong foundation of core artificial intelligence principles
and their applications in the field of digital pathology. This is a
reference of current and emerging use of AI in digital pathology as well
as the emerging utility of quantum artificial intelligence and
neuromorphic computing in digital pathology. It is a must-have
educational resource for lay public, researchers, academicians,
practitioners, policymakers, key administrators, and vendors to stay
current with the shifting landscapes within the emerging field of
digital pathology. It is also of use to workers in other diagnostic
imaging areas such as radiology. This resource covers various
aspects of the use of AI in pathology, including but not limited to the
basic principles, advanced applications, challenges in the development,
deployment, adoption, and scalability of AI-based models in pathology,
the innumerous benefits of applying and integrating AI in the practice
of pathology, ethical considerations for the safe adoption and
deployment of AI in pathology.
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