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Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association.
- Source :
-
The Journal of pathology [J Pathol] 2019 Nov; Vol. 249 (3), pp. 286-294. Date of Electronic Publication: 2019 Sep 03. - Publication Year :
- 2019
-
Abstract
- 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.<br /> (© 2019 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.)
- Subjects :
- Artificial Intelligence classification
Artificial Intelligence ethics
Benchmarking classification
Benchmarking ethics
Computer Security
Diagnosis, Computer-Assisted classification
Diagnosis, Computer-Assisted ethics
Humans
Pathology classification
Pathology ethics
Predictive Value of Tests
Workflow
Artificial Intelligence standards
Benchmarking standards
Diagnosis, Computer-Assisted standards
Image Interpretation, Computer-Assisted standards
Pathology standards
Policy Making
Terminology as Topic
Subjects
Details
- Language :
- English
- ISSN :
- 1096-9896
- Volume :
- 249
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- The Journal of pathology
- Publication Type :
- Academic Journal
- Accession number :
- 31355445
- Full Text :
- https://doi.org/10.1002/path.5331