Artificial intelligence in prostate MRI: Comparative diagnostic performance in a high-prevalence cohort
Nádia Gonçalves Ferreira, Owen Matthew Truscott Thomas, Kjell-Inge Gjesdal, Stig Müller, Jan Oldenburg, Ingrid Framås Syversen, Anders Christian Hansen, Jonn Terje Geitung · 2026
Read Artificial intelligence in prostate MRI: Comparative diagnostic performance in a high-prevalence cohort by Nádia Gonçalves Ferreira, Owen Matthew Truscott Thomas, Kjell-Inge Gjesdal, Stig Müller, Jan Oldenburg, Ingrid Framås Syversen, Anders Christian Hansen, Jonn Terje Geitung (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13530345.txt.
Description
Nádia Gonçalves Ferreira and co-authors compare in 2026 licensed artificial intelligence software with radiologists reading prostate MRI scans. The study drew on a referral center where cancer was unusually common among scanned men. Biopsy results, plus surgery findings for many, judged every reading.
Of 959 men, about 86 percent held significant cancer. The software gave fewer uncertain middle scores than radiologists, traded some sensitivity for higher specificity, and matched overall curve performance. Among men who later had surgery, the software missed more significant cancers. The authors present a close contest with a caution about missed disease.
Catalog record
| CREATOR | Nádia Gonçalves Ferreira, Owen Matthew Truscott Thomas, Kjell-Inge Gjesdal, Stig Müller, Jan Oldenburg, Ingrid Framås Syversen, Anders Christian Hansen, Jonn Terje Geitung |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |