Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice

Colling, R., Pitman, H., Oien, K. , Rajpoot, N., Macklin, P., Snead, D., Sackville, T. and Verrill, C. (2019) Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice. Journal of Pathology, 249(2), pp. 143-150. (doi: 10.1002/path.5310) (PMID:31144302)

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Abstract

The use of artificial intelligence will likely transform clinical practice over the next decade and the early impact of this will likely be the integration of image analysis and machine learning into routine histopathology. In the UK and around the world, a digital revolution is transforming the reporting practice of diagnostic histopathology and this has sparked a proliferation of image analysis software tools. While this is an exciting development that could discover novel predictive clinical information and potentially address international pathology work-force shortages, there is a clear need for a robust and evidence-based framework in which to develop these new tools in a collaborative manner that meets regulatory approval. With these issues in mind, the NCRI Cellular Molecular Pathology (CM-Path) initiative and the British In Vitro Diagnostics Association (BIVDA) has set out a roadmap to help academia, industry and clinicians develop new software tools to the point of approved clinical use. This article is protected by copyright. All rights reserved. [Abstract copyright: This article is protected by copyright. All rights reserved.]

Item Type:Articles
Additional Information:Funding Information: Oxford NIHR Biomedical Research Centre.
Keywords:Analysis, artificial, digital, evidence-based, image, intelligence, pathology.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Oien, Professor Karin
Authors: Colling, R., Pitman, H., Oien, K., Rajpoot, N., Macklin, P., Snead, D., Sackville, T., and Verrill, C.
College/School:College of Medical Veterinary and Life Sciences > Institute of Cancer Sciences
Journal Name:Journal of Pathology
Publisher:Wiley
ISSN:0022-3417
ISSN (Online):1096-9896
Published Online:29 May 2019
Copyright Holders:Copyright © 2019 Pathological Society of Great Britain and Ireland
First Published:First published in Journal of Pathology 249(2): 143-150
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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