BACKGROUND: Generative AI (GenAI) frameworks, such as generative pre-trained transformer (GPTs) and large language models (LLMs), promise to transform clinical and research practices. Informed human opinion is key to guiding appropriate technological...
BACKGROUND: Robot-assisted radical prostatectomy is a minimally invasive, safe procedure preferred in the management of localized prostate cancer. In this study, we present our initial experience with the avatera system (avateramedical GmbH, Jena, Ge...
BACKGROUND: Patients with multiple ipsilateral renal masses have an augmented risk of metachronous contralateral lesions and are likely to undergo repeated surgeries. We report our experience with the technologies currently available and the surgical...
In candidates to robot-assisted radical prostatectomy (RARP) for locally advanced (iT3) prostate cancer on preoperative MRI, the performance of MRI for local staging is demonstrably suboptimal, and currently no prediction tools that might help surgeo...
Robot-assisted simple prostatectomy (RASP) has demonstrated better peri-operative outcomes as compared to open simple prostatectomy. However, RASP is still limited by platform availability and cost-effectiveness issues. The new surgical robots increa...
BACKGROUND: The study aim was to report the results of Retzius-Sparing robot-assisted radical Prostatectomy (RSP) in high-risk prostate cancer (HR-PCa) patients in a multicentric setting of expert surgeons and to analyze predictors of positive surgic...
INTRODUCTION: There is lack of evidence on the impact of surgeons' learning curve on postoperative outcomes after open (OKT) or minimally-invasive (robot-assisted) kidney transplantation (RAKT). The aim of the review was to assess the learning curve ...
BACKGROUND: Prediction of complications and surgical outcomes is of outmost importance even in patients with benign renal masses. The aim of our study is to test the PADUA, SPARE and R.E.N.A.L. scores to predict nephron sparing surgery (NSS) outcomes...