
A deep-learning algorithm detected prostate lesions on multiparametric MRI and tracked lesions throughout the disease course among a subset of patients on active surveillance for prostate cancer, according to study results.
The findings — presented at American Urological Association Annual Meeting — also showed patients with aggressive features that the deep-learning system predicted had a higher likelihood of progression off active surveillance.
“[Artificial intelligence] and deep-learning algorithms are currently a main area of focus, especially in prostate cancer,”