Closing the gap in the clinical adoption of computational pathology: a standardized, open-source framework to integrate deep-learning models into the laboratory information system

Abstract Background Digital pathology (DP) has revolutionized cancer diagnostics and enabled the development of deep-learning (DL) models aimed at supporting pathologists in their daily work and improving patient care. However, the clinical adoption of such models remains challenging. Here, we descr...

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Prif Awduron:	Miriam Angeloni, Davide Rizzi, Simon Schoen, Alessandro Caputo, Francesco Merolla, Arndt Hartmann, Fulvia Ferrazzi, Filippo Fraggetta
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	BMC 2025-05-01
Cyfres:	Genome Medicine
Pynciau:	Anatomic pathology laboratory information system Computational pathology Deep-learning models Digital pathology HL7 Integration
Mynediad Ar-lein:	https://doi.org/10.1186/s13073-025-01484-y
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