dc.contributor
Institut Català de la Salut
dc.contributor
[Bermejo-Peláez D, Rueda Charro S] Spotlab, Madrid, Spain. [García Roa M, Trelles-Martínez R, Bobes-Fernández A] Department of Hematology, Hospital Universitario Fundación Alcorcón, Madrid, Spain. [Hidalgo Soto M] Vall Hebron Institute of Oncology (VHIO), Barcelona, Spain
dc.contributor
Vall d'Hebron Barcelona Hospital Campus
dc.contributor.author
Bermejo-Pelaez, David
dc.contributor.author
Rueda Charro, Sandra
dc.contributor.author
García Roa, María
dc.contributor.author
Trelles-Martinez, Roberto-Oswaldo
dc.contributor.author
Bobes-Fernández, Alejandro
dc.contributor.author
Hidalgo Soto, Marta
dc.date.accessioned
2025-10-25T05:37:41Z
dc.date.available
2025-10-25T05:37:41Z
dc.date.issued
2024-03-11T11:47:34Z
dc.date.issued
2024-03-11T11:47:34Z
dc.identifier
Bermejo-Peláez D, Rueda Charro S, García Roa M, Trelles-Martínez R, Bobes-Fernández A, Hidalgo Soto M, et al. Digital Microscopy Augmented by Artificial Intelligence to Interpret Bone Marrow Samples for Hematological Diseases. Microsc Microanal. 2024 Feb;30(1):151–159.
dc.identifier
https://hdl.handle.net/11351/11174
dc.identifier
10.1093/micmic/ozad143
dc.identifier
001154636300001
dc.identifier.uri
http://hdl.handle.net/11351/11174
dc.description.abstract
Artificial intelligence; Bone marrow aspirates; Digital microscopy
dc.description.abstract
Inteligencia artificial; Aspirados de médula ósea; Microscopía digital
dc.description.abstract
Intel·ligència artificial; Aspirats de medul·la òssia; Microscòpia digital
dc.description.abstract
Analysis of bone marrow aspirates (BMAs) is an essential step in the diagnosis of hematological disorders. This analysis is usually performed based on a visual examination of samples under a conventional optical microscope, which involves a labor-intensive process, limited by clinical experience and subject to high observer variability. In this work, we present a comprehensive digital microscopy system that enables BMA analysis for cell type counting and differentiation in an efficient and objective manner. This system not only provides an accessible and simple method to digitize, store, and analyze BMA samples remotely but is also supported by an Artificial Intelligence (AI) pipeline that accelerates the differential cell counting process and reduces interobserver variability. It has been designed to integrate AI algorithms with the daily clinical routine and can be used in any regular hospital workflow.
dc.description.abstract
This project has been partially funded by the European Union's Horizon 2020 research and innovation program under grant agreement No. 881062; the European Union - NextgenerationEU under the “Plan de Recuperación, Transformación y Resiliencia” of the Spanish Government, the Instituto de Salud Carlos III (ISCIII) under grants PMPTA22/00169, PMPTA22/00088, PMPTA22/00041, PMPTA22/00023, PMPTA22/00101; and the Centro para el Desarrollo Tecnológico y la Innovación (CDTI) under grant EXP 00156466 / IDI-20230066. D.B.-P. was supported by grant PTQ2020-011340/AEI/10.13039/501100011033 funded by the Spanish State Investigation Agency. R.G.-V. holds a Formación de Profesorado Universitario (FPU19/04933) grant from the Ministry of Science, Innovation and Universities of Spain Government. A.R.-G. holds the FEHH 2021 research grant from the Spanish Society of Haematology. L.L. was supported by a predoctoral grant IND2019/TIC-17167 (Comunidad de Madrid, Spain).
dc.format
application/pdf
dc.publisher
Oxford University Press
dc.relation
Microscopy and Microanalysis;30(1)
dc.relation
https://doi.org/10.1093/micmic/ozad143
dc.relation
info:eu-repo/grantAgreement/EC/H2020/881062
dc.rights
Attribution-NonCommercial 4.0 International
dc.rights
http://creativecommons.org/licenses/by-nc/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Microscòpia clínica
dc.subject
Intel·ligència artificial - Aplicacions a la medicina
dc.subject
Sang - Malalties - Diagnòstic
dc.subject
DISEASES::Hemic and Lymphatic Diseases::Hematologic Diseases
dc.subject
Other subheadings::Other subheadings::/diagnosis
dc.subject
PHENOMENA AND PROCESSES::Mathematical Concepts::Algorithms::Artificial Intelligence
dc.subject
ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Microscopy
dc.subject
ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Clinical Laboratory Techniques::Hematologic Tests::Bone Marrow Examination
dc.subject
ENFERMEDADES::enfermedades hematológicas y linfáticas::enfermedades hematológicas
dc.subject
Otros calificadores::Otros calificadores::/diagnóstico
dc.subject
FENÓMENOS Y PROCESOS::conceptos matemáticos::algoritmos::inteligencia artificial
dc.subject
TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::microscopía
dc.subject
TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::técnicas de laboratorio clínico::pruebas hematológicas::examen de la médula ósea
dc.title
Digital Microscopy Augmented by Artificial Intelligence to Interpret Bone Marrow Samples for Hematological Diseases
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion
