Research-based clinical deployment of artificial intelligence algorithm for prostate MRI
Integration of novel AI algorithms requiring multi-parametric input into clinical PACS environment is feasible and model outputs can be used for downstream clinical tasks.
Authors
- Ömer Tarık Esengür (ORCID: https://orcid.org/0000-0002-3084-4285)
- Alexander Schmidt-Richberg (ORCID: https://orcid.org/0000-0002-0633-4832)
- Samuel Coons
- Sandeep Gurram (ORCID: https://orcid.org/0000-0002-6405-9269)
- Baris Turkbey
- Bradford J. Wood (ORCID: https://orcid.org/0000-0002-4297-0051)
- Ming Qin (ORCID: https://orcid.org/0000-0001-5633-3988)
- Dong Yang (ORCID: https://orcid.org/0000-0002-5031-4337)
- Jesse Tetreault (ORCID: https://orcid.org/0009-0001-3057-8626)
- Peter A. Pinto (ORCID: https://orcid.org/0000-0002-0190-5931)
- Ziyue Xu (ORCID: https://orcid.org/0000-0002-5728-6869)
- Enis C. Yılmaz (ORCID: https://orcid.org/0000-0001-5301-3137)
- J. Plum
- Daguang Xu (ORCID: https://orcid.org/0000-0002-4621-881X)
- Stephanie A. Harmon (ORCID: https://orcid.org/0000-0002-2507-2399)
- Victor Chang (ORCID: https://orcid.org/0000-0002-8012-5852)
- Testi Sherif
- Scott M. Thompson (ORCID: https://orcid.org/0000-0001-7853-3278)
- R.J. Levin
- Gregg Cohen
- Peter L. Choyke (ORCID: https://orcid.org/0000-0003-1086-8826)
- Te Chen (ORCID: https://orcid.org/0000-0002-4596-6509)
Institutions
- National Institutes of Health (US)
- Nvidia (United States) (US)
- Philips (United States) (US)
Publication Details
- Journal
- Abdominal Radiology
- Published
- 2025-05-25
- DOI
- https://doi.org/10.1007/s00261-025-05014-7
- Citations
- 5
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 7.59
Funders
- U.S. Department of Health and Human Services
- National Institutes of Health