Advancing robotic prostate biopsy through artificial intelligence

Abstract

Robotic-assisted prostate biopsy procedures may revolutionize the field of urology by providing improved accuracy, precision, and patient comfort, together with early cancer detection and treatment. This article delves into the integration of artificial intelligence (AI) in the robotic system to further enhance the efficacy and efficiency of these biopsies. AI algorithms are employed for various crucial aspects of the procedure, including target localization, image fusion, needle trajectory planning, and real-time feedback. In this article, we explore the utilization of AI-driven image processing for the identification of the prostate in pre-operative and intra-operative images with the purpose of the automation of the image fusion process, as well as the identification and localization of prostate lesions. The use of a robot and AI aid in creating an intra-operative model of the prostate, facilitating precise biopsy needle placement. Furthermore, real-time AI feedback is used to track the movement of the target and to update the image fusion instantaneously. AI algorithms provide immediate guidance, alerting clinicians to any deviations from the planned trajectory, thus minimizing the risk of complications. We discuss the potential challenges and ethical considerations associated with AI integration in robotic prostate biopsy, including data privacy, transparency, and the importance of maintaining clinician expertise. Additionally, the article highlights ongoing research and development in the field, shedding light on the promising future of AI in prostate biopsy. In conclusion, the integration of artificial intelligence in robotic prostate biopsy is poised to transform the field, optimizing the diagnostic process, and improving patient outcomes. This article offers valuable insights into the current state and future prospects of AI-driven advancements in prostate biopsy procedures.