Artificial intelligence in diagnostic pathology.
Algorithms
Artificial intelligence
Future
Pathology
Journal
Diagnostic pathology
ISSN: 1746-1596
Titre abrégé: Diagn Pathol
Pays: England
ID NLM: 101251558
Informations de publication
Date de publication:
03 Oct 2023
03 Oct 2023
Historique:
received:
21
06
2023
accepted:
21
07
2023
medline:
4
10
2023
pubmed:
3
10
2023
entrez:
2
10
2023
Statut:
epublish
Résumé
Digital pathology (DP) is being increasingly employed in cancer diagnostics, providing additional tools for faster, higher-quality, accurate diagnosis. The practice of diagnostic pathology has gone through a staggering transformation wherein new tools such as digital imaging, advanced artificial intelligence (AI) algorithms, and computer-aided diagnostic techniques are being used for assisting, augmenting and empowering the computational histopathology and AI-enabled diagnostics. This is paving the way for advancement in precision medicine in cancer. Automated whole slide imaging (WSI) scanners are now rendering diagnostic quality, high-resolution images of entire glass slides and combining these images with innovative digital pathology tools is making it possible to integrate imaging into all aspects of pathology reporting including anatomical, clinical, and molecular pathology. The recent approvals of WSI scanners for primary diagnosis by the FDA as well as the approval of prostate AI algorithm has paved the way for starting to incorporate this exciting technology for use in primary diagnosis. AI tools can provide a unique platform for innovations and advances in anatomical and clinical pathology workflows. In this review, we describe the milestones and landmark trials in the use of AI in clinical pathology with emphasis on future directions.
Identifiants
pubmed: 37784122
doi: 10.1186/s13000-023-01375-z
pii: 10.1186/s13000-023-01375-z
pmc: PMC10546747
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
109Informations de copyright
© 2023. BioMed Central Ltd., part of Springer Nature.
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