Using Artificial Intelligence as a Risk Prediction Model in Patients with Equivocal Multiparametric Prostate MRI Findings
Abdullah Al-Khanaty, David Hennes, Arjun Guduguntla, Pablo Guerrero, Carlos Delgado, Eoin Dinneen, Elio Mazzone, Sree Appu, Damien Bolton, Renu S. Eapen, Declan G. Murphy, Nathan Lawrentschuk, Marlon L. Perera · 2025
Read Using Artificial Intelligence as a Risk Prediction Model in Patients with Equivocal Multiparametric Prostate MRI Findings by Abdullah Al-Khanaty, David Hennes, Arjun Guduguntla, Pablo Guerrero, Carlos Delgado, Eoin Dinneen, Elio Mazzone, Sree Appu, Damien Bolton, Renu S. Eapen, Declan G. Murphy, Nathan Lawrentschuk, Marlon L. Perera (2025) 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/pmc-12784955.txt.
Description
Abdullah Al-Khanaty and co-authors review whether artificial intelligence can resolve the grey zone of prostate MRI: lesions scored PI-RADS 3, where significant cancer hides in ten to thirty percent of cases. These equivocal scans trigger needless biopsies and missed cancers. The review searched studies to August 2025 for AI tools predicting significant cancer in such lesions, favoring externally validated models. It explains the PI-CAI study, a benchmark of over ten thousand scans.
Radiomics, which mines handcrafted image features, reached respectable accuracy, especially in one zone. Deep learning did better and could cut benign biopsies by thirty to forty percent. Adding measures like PSA density sharpened discrimination. In PI-CAI, AI systems matched or beat expert radiologists across scanners and countries. The authors require prospective trials and standard protocols before use. The review maps a field close to, but not yet at, the clinic.
Catalog record
| CREATOR | Abdullah Al-Khanaty, David Hennes, Arjun Guduguntla, Pablo Guerrero, Carlos Delgado, Eoin Dinneen, Elio Mazzone, Sree Appu, Damien Bolton, Renu S. Eapen, Declan G. Murphy, Nathan Lawrentschuk, Marlon L. Perera |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 32 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |