Incorporating artificial intelligence in urology: Supervised machine learning algorithms demonstrate comparative advantage over nomograms in predicting biochemical recurrence after prostatectomy.
Yu Guang TanAndrew H S FangJay K S LimFarhan KhalidKenneth ChenHenry S S HoJohn S P YuenHong Hong HuangKae Jack TayPublished in: The Prostate (2021)
Supervised ML algorithms can deliver accurate performances and outperform nomograms in predicting BCR after RP. This may facilitate tailored care provisions by identifying high-risk patients who will benefit from multimodal therapy.