Advancements in artificial intelligence for robotic-assisted radical prostatectomy in men suffering from prostate cancer: results from a scoping review

Abstract

Background: Robotic-assisted radical prostatectomy (RARP) is currently a first-line treatment option for men with localized prostate cancer (PCa), at least 10 years of life expectancy, and candidate for curative treatment. We performed a scoping review to evaluate the role of artificial intelligence (AI) on RARP for PCa.

Methods: A comprehensive literature search was performed using EMBASE, PubMed, and Scopus. Only English papers were accepted. The PICOS (Patient Intervention Comparison Outcome Study type) model was used; P: adult men with PCa undergoing RARP; I: use of AI; C: none; O: preoperative planning improvement and postoperative outcomes; S: prospective and retrospective studies.

Results: Seventeen papers were included, dealing with prediction of positive surgical margins/extraprostatic extension, biochemical recurrence, patient's outcomes, intraoperative superimposition of magnetic resonance images to identify and locate lesions for nerve-sparing surgery, identification and labeling of surgical steps, and quality of surgery. All studies found improving outcomes in procedures employing AI.

Conclusions: The integration of AI in RARP represents a transformative advancement in surgical practice, augmenting surgical precision, enhancing decision-making processes and facilitating personalized patient care. This holds immense potential to improve surgical outcomes and teaching, and mitigate complications. This should be balanced against the current costs of implementation of robotic platforms with such a technology.

Keywords: Prostate cancer (PCa); artificial intelligence (AI); machine learning; robotic radical prostatectomy.