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

The use of artificial intelligence will 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...

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Vydané v:	The Journal of pathology Ročník 249; číslo 2; s. 143 - 150
Hlavní autori:	Colling, Richard, Pitman, Helen, Oien, Karin, Rajpoot, Nasir, Macklin, Philip, Bachtiar, Velicia, Booth, Richard, Bryant, Alyson, Bull, Joshua, Bury, Jonathan, Carragher, Fiona, Collins, Graeme, Craig, Clare, da Silva, Maria Freitas, Gosling, Daniel, Jacobs, Jaco, Kajland‐Wilén, Lena, Karling, Johanna, Lawler, Darragh, Lee, Stephen, Miller, Keith, Mozolowski, Guy, Nicholson, Richard, O'Connor, Daniel, Rahbek, Mikkel, Sumner, Alan, Vossen, Dirk, White, Kieron, Wing, Charlotte, Wright, Corrina, Snead, David, Sackville, Tony, Verrill, Clare
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Chichester, UK John Wiley & Sons, Ltd 01.10.2019 Wiley Subscription Services, Inc
Predmet:	analysis artificial Artificial intelligence Artificial Intelligence - standards Artificial Intelligence - trends Clinical medicine Computer programs Diagnosis, Computer-Assisted - standards Diagnosis, Computer-Assisted - trends Diffusion of Innovation digital evidence‐based Forecasting Histopathology Humans Image Interpretation, Computer-Assisted - standards Image processing intelligence Learning algorithms Pathology Pathology - standards Pathology - trends Predictive Value of Tests Regulatory approval Reproducibility of Results Workflow United Kingdom > UK digital image artificial pathology analysis evidence-based intelligence
ISSN:	0022-3417, 1096-9896, 1096-9896
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Popis
Shrnutí:	The use of artificial intelligence will 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 workforce 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) have set out a roadmap to help academia, industry, and clinicians develop new software tools to the point of approved clinical use. © 2019 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
Bibliografia:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Review-3 content type line 23
ISSN:	0022-3417 1096-9896 1096-9896
DOI:	10.1002/path.5310