Advances in Bone Marrow Evaluation.
Artificial intelligence
Aspirate
Bone marrow
Machine learning
Trephine biopsy
Journal
Clinics in laboratory medicine
ISSN: 1557-9832
Titre abrégé: Clin Lab Med
Pays: United States
ID NLM: 8100174
Informations de publication
Date de publication:
Sep 2024
Sep 2024
Historique:
medline:
2
8
2024
pubmed:
2
8
2024
entrez:
1
8
2024
Statut:
ppublish
Résumé
Evaluation of bone marrow aspirate smear and trephine biopsy specimens is critical to the diagnosis of benign and malignant hematologic conditions. Digital pathology has the potential to revolutionize bone marrow assessment through implementation of artificial intelligence for assisted and automated evaluation, but there remain many barriers toward this implementation. This article reviews the current state of digital evaluation of bone marrow aspirate smears and trephine biopsies, recent research using machine learning models for automated specimen analysis, an outline of the advantages and barriers facing clinical implementation of artificial intelligence, and a potential vision of artificial intelligence-associated bone marrow evaluation.
Identifiants
pubmed: 39089749
pii: S0272-2712(24)00016-7
doi: 10.1016/j.cll.2024.04.005
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
431-440Informations de copyright
Copyright © 2024 Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Disclosure O. Pozdnyakova is a consultant for Scopio and serves as a speaker for Sysmex.