Artificial intelligence and digital pathology

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Authors: Andreas Kleppe, Tarjei S. Hveem, Knut Liestøl, H E Danielsen
Cited by: 0

Abstract

Abstract This chapter describes recent achievements and current limitations in the field. In particular, while several AI systems show promising performance in initial testing, many have not been rigorously validated in external datasets and are not ready for clinical implementation in their current form. Currently, a lack of understanding of how deep learning systems obtain specific predictions limits the use of AI in medicine and thus revealing precise explanations will be essential to increase the use of AI in the clinic. While extensive utilization of AI systems in the clinical management of CRCs still seems years away, some systems have shown great promise, and controlled use in the clinic might be appropriate, particularly when it can be expected to improve the treatment of CRC patients.

Fields of Study & Subjects

AI in cancer detection Artificial Intelligence in Healthcare and Education Radiomics and Machine Learning in Medical Imaging

Publication details

Journal / source
Oxford University Press eBooks
Pages
79–92
Publication date
1 February 2026
Language
EN
Document type
Book chapter