The potential of artificial intelligence-based applications in kidney pathology.
Journal
Current opinion in nephrology and hypertension
ISSN: 1473-6543
Titre abrégé: Curr Opin Nephrol Hypertens
Pays: England
ID NLM: 9303753
Informations de publication
Date de publication:
01 05 2022
01 05 2022
Historique:
pubmed:
16
2
2022
medline:
22
4
2022
entrez:
15
2
2022
Statut:
ppublish
Résumé
The field of pathology is currently undergoing a significant transformation from traditional glass slides to a digital format dependent on whole slide imaging. Transitioning from glass to digital has opened the field to development and application of image analysis technology, commonly deep learning methods (artificial intelligence [AI]) to assist pathologists with tissue examination. Nephropathology is poised to leverage this technology to improve precision, accuracy, and efficiency in clinical practice. Through a multidisciplinary approach, nephropathologists, and computer scientists have made significant recent advances in developing AI technology to identify histological structures within whole slide images (segmentation), quantification of histologic structures, prediction of clinical outcomes, and classifying disease. Virtual staining of tissue and automation of electron microscopy imaging are emerging applications with particular significance for nephropathology. AI applied to image analysis in nephropathology has potential to transform the field by improving diagnostic accuracy and reproducibility, efficiency, and prognostic power. Reimbursement, demonstration of clinical utility, and seamless workflow integration are essential to widespread adoption.
Identifiants
pubmed: 35165248
doi: 10.1097/MNH.0000000000000784
pii: 00041552-202205000-00007
pmc: PMC9035059
mid: NIHMS1778530
doi:
Types de publication
Journal Article
Review
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
251-257Subventions
Organisme : NIDDK NIH HHS
ID : R42 DK120253
Pays : United States
Informations de copyright
Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.
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