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Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association

The Journal of pathology, 2019-11, Vol.249 (3), p.286 [Peer Reviewed Journal]

2019 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland. ;ISSN: 0022-3417 ;ISSN: 1096-9896 ;EISSN: 1096-9896 ;DOI: 10.1002/path.5331 ;PMID: 31355445

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Title:
Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
Author: Abels, Esther ; Pantanowitz, Liron ; Aeffner, Famke ; Zarella, Mark D ; van der Laak, Jeroen ; Bui, Marilyn M ; Vemuri, Venkata Np ; Parwani, Anil V ; Gibbs, Jeff ; Agosto-Arroyo, Emmanuel ; Beck, Andrew H ; Kozlowski, Cleopatra
Subjects: Artificial Intelligence - classification ; Artificial Intelligence - ethics ; Artificial Intelligence - standards ; Benchmarking - classification ; Benchmarking - ethics ; Benchmarking - standards ; Computer Security ; Diagnosis, Computer-Assisted - classification ; Diagnosis, Computer-Assisted - ethics ; Diagnosis, Computer-Assisted - standards ; Humans ; Image Interpretation, Computer-Assisted - standards ; Pathology - classification ; Pathology - ethics ; Pathology - standards ; Policy Making ; Predictive Value of Tests ; Terminology as Topic ; Workflow
Is Part Of: The Journal of pathology, 2019-11, Vol.249 (3), p.286
Description: In this white paper, experts from the Digital Pathology Association (DPA) define terminology and concepts in the emerging field of computational pathology, with a focus on its application to histology images analyzed together with their associated patient data to extract information. This review offers a historical perspective and describes the potential clinical benefits from research and applications in this field, as well as significant obstacles to adoption. Best practices for implementing computational pathology workflows are presented. These include infrastructure considerations, acquisition of training data, quality assessments, as well as regulatory, ethical, and cyber-security concerns. Recommendations are provided for regulators, vendors, and computational pathology practitioners in order to facilitate progress in the field. © 2019 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.
Publisher: England
Language: English
Identifier: ISSN: 0022-3417
ISSN: 1096-9896
EISSN: 1096-9896
DOI: 10.1002/path.5331
PMID: 31355445
Source: SWEPUB Freely available online

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Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association

2019 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland. ;ISSN: 0022-3417 ;ISSN: 1096-9896 ;EISSN: 1096-9896 ;DOI: 10.1002/path.5331 ;PMID: 31355445

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