The critical role of standards for AI in digital pathology
With the concepts and frameworks outlined in this article, we highlight the importance of standards in pathology and their crucial role in driving computational advances and enabling AI solutions to enhance patient care.
Authors
- Samreen Fathima (ORCID: https://orcid.org/0000-0002-0475-1421)
- Christina Zioga (ORCID: https://orcid.org/0000-0003-1160-1410)
- Chhavi Chauhan (ORCID: https://orcid.org/0000-0003-3278-3081)
- Belinda Lennerz (ORCID: https://orcid.org/0000-0002-8021-7984)
- Vanessa Schumacher (ORCID: https://orcid.org/0000-0003-4882-9881)
- Jennifer Samboy
- Rajesh Dash (ORCID: https://orcid.org/0000-0002-2499-6389)
- Uwe Horchner
- Handy Oen
- Scott Blakely
- Giovanni Lujan (ORCID: https://orcid.org/0000-0003-1392-6155)
- Joachim Schmid
- Manu Tom Sebastian
- Marilyn M. Bui
- Joe Yeh
- Markus Herrmann
- Pei-Chen Lin
- Liron Pantanowitz
- Anil Parwani
- Robert Y. Osamura
- Jeff Gibbs
Institutions
- Roche (Switzerland) (CH)
- Loyola University Medical Center (US)
- Memorial Sloan Kettering Cancer Center (US)
- The University of Texas MD Anderson Cancer Center (US)
- Harvard University (US)
- Aletheia University (TW)
- University of Pittsburgh (US)
- Illumina (United States) (US)
- Moffitt Cancer Center (US)
- Massachusetts General Hospital (US)
- Roche (Estonia) (EE)
- Collaborative Research Group (AU)
- Open Invention Network (United States) (US)
- Philips (United States) (US)
- Nippon Koei (Japan) (JP)
- Duke University Health System (US)
- Phelps Hospital (US)
- Mine Safety Appliances (United States) (US)
- G. Papanikolaou General Hospital (GR)
- The Ohio State University (US)
Publication Details
- Journal
- Journal of Pathology Informatics
- Published
- 2026-02-04
- DOI
- https://doi.org/10.1016/j.jpi.2026.100645
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00