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The slow-paced digital evolution of pathology: lights and shadows from a multifaceted board

Caputo, Alessandro
•
L'Imperio, Vincenzo
•
Merolla, Francesco
altro
Fraggetta, Filippo
2023
  • journal article

Periodico
PATHOLOGICA
Abstract
Objective: The digital revolution in pathology represents an invaluable resource fto optimise costs, reduce the risk of error and improve patient care, even though it is still adopted in a minority of laboratories. Barriers include concerns about initial costs, lack of confidence in using whole slide images for primary diagnosis, and lack of guidance on transition. To address these challenges and develop a programme to facilitate the introduction of digital pathology (DP) in Italian pathology departments, a panel discussion was set up to identify the key points to be considered. Methods: On 21 July 2022, an initial conference call was held on Zoom to identify the main issues to be discussed during the face-to-face meeting. The final summit was divided into four different sessions: (I) the definition of DP, (II) practical applications of DP, (III) the use of AI in DP, (IV) DP and education. Results: Essential requirements for the implementation of DP are a fully tracked and automated workflow, selection of the appropriate scanner based on the specific needs of each department, and a strong commitment combined with coordinated teamwork (pathologists, technicians, biologists, IT service and industries). This could reduce human error, leading to the application of AI tools for diagnosis, prognosis and prediction. Open challenges are the lack of specific regulations for virtual slide storage and the optimal storage solution for large volumes of slides. Conclusion: Teamwork is key to DP transition, including close collaboration with industry. This will ease the transition and help bridge the gap that currently exists between many labs and full digitisation. The ultimate goal is to improve patient care.
DOI
10.32074/1591-951X-868
WOS
WOS:001063841800001
Archivio
https://hdl.handle.net/11390/1250829
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85164233680
https://ricerca.unityfvg.it/handle/11390/1250829
Diritti
open access
Soggetti
  • artificial intelligen...

  • computational patholo...

  • digital pathology

  • education

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