For instance, an algorithm developed for breast cancer recurrence achieved favourable performance metrics, including a sensitivity approaching 94% and specificity in excess of 93% [1].

Mayo Clinic researchers in Phoenix used artificial intelligence to create an algorithm to better predict colorectal cancer recurrence, according to a multinational study published in Gastroenterology.

MRI-Based Algorithm More Predictive of Biochemical Recurrence After Prostate Cancer Surgery Than Existing Prognostic Tools Katarina Zimmer, MSci, MS March 2, 2021 ...

Development of an Automatic Rule-Based Algorithm for the Detection of Ovarian Cancer Recurrence From Electronic Health Records The article by Lee et al entitled “Development of an Automatic Rule-Based ...