• LOGIN
Repository logo

BORIS Portal

Bern Open Repository and Information System

  • Publication
  • Projects
  • Funding
  • Research Data
  • Organizations
  • Researchers
  • LOGIN
Repository logo
Unibern.ch
  1. Home
  2. Publications
  3. Digital image analysis and artificial intelligence in pathology diagnostics-the Swiss view.
 

Digital image analysis and artificial intelligence in pathology diagnostics-the Swiss view.

Options
  • Details
BORIS DOI
10.48350/189251
Date of Publication
December 2023
Publication Type
Article
Division/Institute

Institut für Gewebeme...

Institut für Gewebeme...

Author
Berezowska, Sabina
Cathomas, Gieri Risch
Institut für Gewebemedizin und Pathologie - Klinische Pathologie
Grobholz, Rainer
Henkel, Maurice
Jochum, Wolfram
Koelzer, Viktor H
Kreutzfeldt, Mario
Mertz, Kirsten D
Rössle, Matthias
Soldini, Davide
Zlobec, Intiorcid-logo
Institut für Gewebemedizin und Pathologie
Institut für Gewebemedizin und Pathologie - Digitale Pathologie
Janowczyk, Andrew
Subject(s)

500 - Science::570 - ...

600 - Technology::610...

Series
Pathologie
ISSN or ISBN (if monograph)
2731-7196
Publisher
Springer
Language
English
Publisher DOI
10.1007/s00292-023-01262-w
PubMed ID
37987817
Uncontrolled Keywords

Artificial intelligen...

Description
Digital pathology (DP) is increasingly entering routine clinical pathology diagnostics. As digitization of the routine caseload advances, implementation of digital image analysis algorithms and artificial intelligence tools becomes not only attainable, but also desirable in daily sign out. The Swiss Digital Pathology Consortium (SDiPath) has initiated a Delphi process to generate best-practice recommendations for various phases of the process of digitization in pathology for the local Swiss environment, encompassing the following four topics: i) scanners, quality assurance, and validation of scans; ii) integration of scanners and systems into the pathology laboratory information system; iii) the digital workflow; and iv) digital image analysis (DIA)/artificial intelligence (AI). The current article focuses on the DIA-/AI-related recommendations generated and agreed upon by the working group and further verified by the Delphi process among the members of SDiPath. Importantly, they include the view and the currently perceived needs of practicing pathologists from multiple academic and cantonal hospitals as well as private practices.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/171618
Show full item
File(s)
FileFile TypeFormatSizeLicensePublisher/Copright statementContent
s00292-023-01262-w.pdftextAdobe PDF244.66 KBpublishedOpen
BORIS Portal
Bern Open Repository and Information System
Build: 360c85 [14.04. 8:05]
Explore
  • Projects
  • Funding
  • Publications
  • Research Data
  • Organizations
  • Researchers
More
  • About BORIS Portal
  • Send Feedback
  • Cookie settings
  • Service Policy
Follow us on
  • Mastodon
  • YouTube
  • LinkedIn
UniBe logo