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A deep-learning algorithm (AIFORIA) for classification of hematopoietic cells in bone marrow aspirate smears based on nine cell classes—a feasible approach for routine screening?

Crossref DOI link: https://doi.org/10.1007/s12308-025-00625-x

Published Online: 2025-03-29

Published Print: 2025-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Saft, Leonie

Vaara, Emma

Ljung, Elin

Kwiecinska, Anna

Kumar, Darshan

Timar, Botond
Funding

Funding for this research was provided by:

AIDA Medtech4Health

Karolinska Institute
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Text and Data Mining valid from 2025-03-29

Version of Record valid from 2025-03-29
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Article History

Received: 24 November 2024

Accepted: 17 March 2025

First Online: 29 March 2025

Declarations

:

: The study was performed in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki and its later amendments.Ethical approval was granted by the Swedish Authorities, Etikprövningsmyndigheten (Dnr. 2024–02789-01).

: Informed consent was obtained from the human participants at the time of biopsy sampling according to local hospital guidelines.

: For this type of study, consent for publication is not required.

: Two authors (E.V., D. K.) are employees at Aiforia Technologies Plc, Helsinki, Finland.

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