Predicting biochemical recurrence of prostate cancer with artificial intelligence
oleh: Hans Pinckaers, Jolique van Ipenburg, Jonathan Melamed, Angelo De Marzo, Elizabeth A. Platz, Bram van Ginneken, Jeroen van der Laak, Geert Litjens
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-06-01 |
Deskripsi
Pinckaers et al. develop a deep learning system to predict biochemical recurrence in prostate cancer patients treated with radical prostatectomy. The authors’ morphological biomarker provides predictive power beyond traditional Gleason grading, based on analysis of two clinical datasets from different institutions.