作者
Laura Zuluaga, Jordan Miller Rich, Raghav Gupta, Adriana Pedraza, Burak Ucpinar, Kennedy E Okhawere, Indu Saini, Priyanka Dwivedi, Dhruti Patel, Osama Zaytoun, Mani Menon, Ashutosh Tewari, Ketan K Badani
发表日期
2024/3/1
来源
Urologic Oncology: Seminars and Original Investigations
卷号
42
期号
3
页码范围
57-66
出版商
Elsevier
简介
Introduction and objective
Real-time artificial intelligence (AI) annotation of the surgical field has the potential to automatically extract information from surgical videos, helping to create a robust surgical atlas. This content can be used for surgical education and qualitative initiatives. We demonstrate the first use of AI in urologic robotic surgery to capture live surgical video and annotate key surgical steps and safety milestones in real-time.
Summary background data
While AI models possess the capability to generate automated annotations based on a collection of video images, the real-time implementation of such technology in urological robotic surgery to aid surgeon and training staff it is still pending to be studied.
Methods
We conducted an educational symposium, which broadcasted 2 live procedures, a robotic-assisted radical prostatectomy (RARP) and a robotic-assisted partial nephrectomy (RAPN). A surgical AI …
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AI-powered real-time annotations during urologic surgery: The future of training and quality metrics
L Zuluaga, JM Rich, R Gupta, A Pedraza, B Ucpinar… - Urologic Oncology: Seminars and Original …, 2024