Prospective Clinical Implementation of Paige Prostate Detect Artificial Intelligence Assistance in the Detection of Prostate Cancer in Prostate Biopsies: CONFIDENT P Trial Implementation of Artificial Intelligence Assistance in Prostate Cancer Detect
This study demonstrates that AI assistance for PCa detection in PBx significantly reduces IHC costs while maintaining diagnostic safety standards, supporting the business case for AI implementation in PCa detection.
Authors
- Britt B.M. Suelmann (ORCID: https://orcid.org/0000-0002-7155-3337)
- Rachel N Flach (ORCID: https://orcid.org/0000-0002-4448-2895)
- Carmen van Dooijeweert (ORCID: https://orcid.org/0000-0001-8030-4335)
- P. J. van Diest (ORCID: https://orcid.org/0000-0003-0658-2745)
- Richard P. Meijer (ORCID: https://orcid.org/0000-0003-2510-7982)
- Michael F. Lynch (ORCID: https://orcid.org/0000-0002-1653-0642)
- Tri Q. Nguyen (ORCID: https://orcid.org/0000-0001-6475-0706)
- Nikolas Stathonikos (ORCID: https://orcid.org/0000-0002-5457-7580)
- Peter-Paul M. Willemse
- Trudy N. Jonges
Institutions
- Gelre Hospitals (NL)
- University Medical Center Utrecht (NL)
Publication Details
- Journal
- JCO Clinical Cancer Informatics
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1200/cci-24-00193
- Citations
- 5
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 12.40