Selecting high-throughput scanners for clinical use: A multicenter institution experience
Despite high costs, WSI scanners substantially improved slide accessibility, reduced turnaround times, and enhanced workflow flexibility. Their integration supports AI advancements, facilitates second opinions, improves access to educational materials, and facilitates proficiency testing.
Authors
- Ioannis Prassas (ORCID: https://orcid.org/0000-0002-7907-4576)
- Iman Ahmed (ORCID: https://orcid.org/0000-0003-3751-2280)
- George M. Yousef
- Christine Bruce (ORCID: https://orcid.org/0000-0002-4846-3720)
- Blaise Clarke (ORCID: https://orcid.org/0000-0002-2585-8391)
- Karen Weiser
- S. Zeidan (ORCID: https://orcid.org/0009-0000-2396-4994)
- Charlotte Carment-Baker
- Joice Soliman
- Michael Hockley
Institutions
- University Health Network (CA)
- University of Toronto (CA)
Publication Details
- Journal
- American Journal of Clinical Pathology
- Published
- 2025-07-19
- DOI
- https://doi.org/10.1093/ajcp/aqaf083
- Citations
- 1
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 2.48