Development of a national pathology training system using digital pathology and SNOMED-CT
A large directory of digital pathology teaching cases was developed with associated corresponding SNOMED CT terms. The directory of terms will be shared with other healthcare providers to expand its use and utility.
Authors
- Darren Treanor (ORCID: https://orcid.org/0000-0002-4579-484X)
- Craig Sayers
- Alyn L. Cratchley (ORCID: https://orcid.org/0000-0003-1620-7826)
- Alexander Wright
- Rajesh Dash (ORCID: https://orcid.org/0000-0002-2499-6389)
- Clare McGenity (ORCID: https://orcid.org/0000-0002-0224-2340)
- Neil J. Sebire (ORCID: https://orcid.org/0000-0001-5348-9063)
- Adrienne M. Flanagan (ORCID: https://orcid.org/0000-0002-2832-1303)
- Jocelyn Aldridge
- W. Scott Campbell (ORCID: https://orcid.org/0000-0001-7025-2914)
- Waseem Akhtar (ORCID: https://orcid.org/0000-0003-2580-5772)
Institutions
- Linköping University (SE)
- University of Leeds (GB)
- Leeds Teaching Hospitals NHS Trust (GB)
- Great Ormond Street Hospital (GB)
- Royal National Orthopaedic Hospital (GB)
- National Institute for Health and Care Research (GB)
- South West Yorkshire Partnership NHS Foundation Trust (GB)
- Duke University Health System (US)
- CRUK Lung Cancer Centre of Excellence (GB)
- Mid Yorkshire Hospitals NHS Trust (GB)
- University College London (GB)
- University of Nebraska Medical Center (US)
Publication Details
- Journal
- Journal of Pathology Informatics
- Published
- 2025-06-18
- DOI
- https://doi.org/10.1016/j.jpi.2025.100456
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00