Artificial intelligence-assisted prostate cancer diagnosis for reduced use of immunohistochemistry
This AI model shows promise for reducing unnecessary IHC use in difficult prostate biopsy cases while maintaining diagnostic safety. Its integration into clinical workflows could streamline decision-making in prostate pathology and alleviate resource burdens.
Authors
- J. Asenjo
- Einar Gudlaugsson (ORCID: https://orcid.org/0000-0003-2133-3958)
- Svein Reidar Kjosavik (ORCID: https://orcid.org/0000-0002-7004-5533)
- Nita Mulliqi (ORCID: https://orcid.org/0009-0002-7448-4960)
- Paolo Libretti
- Sol Erika Boman (ORCID: https://orcid.org/0009-0001-5733-3178)
- Kimmo Kartasalo (ORCID: https://orcid.org/0000-0002-9470-4783)
- Kelvin Szolnoky (ORCID: https://orcid.org/0000-0002-0554-1872)
- Martin Eklund (ORCID: https://orcid.org/0000-0001-5032-5266)
- Lars Egevad (ORCID: https://orcid.org/0000-0001-8531-222X)
- Xiaoyi Ji (ORCID: https://orcid.org/0009-0005-8431-7906)
- Anders Blilie (ORCID: https://orcid.org/0009-0002-9546-5443)
- Geraldine Martinez Gonzalez
- Matteo Titus
- Marcello Gambacorta
- Emiel A. M. Janssen
Institutions
- Griffith University (AU)
- Stavanger University Hospital (NO)
- Science for Life Laboratory (SE)
- Karolinska Institutet (SE)
- Synapse (Spain) (ES)
- University of Bergen (NO)
- University of Stavanger (NO)
Publication Details
- Journal
- Communications Medicine
- Published
- 2025-10-15
- DOI
- https://doi.org/10.1038/s43856-025-01185-y
- Citations
- 2
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.04
Funders
- KAUTE-Säätiö
- Universitetet i Stavanger
- Cancerfonden
- Linköpings Universitet
- Karolinska Institutet
- Knut och Alice Wallenbergs Stiftelse
- Vetenskapsrådet
- Orionin Tutkimussäätiö
- Instrumentariumin Tiedesäätiö
- Science for Life Laboratory
- National Supercomputer Centre, Linköpings Universitet