Ben Challacombe

Predicting intra‐operative and postoperative consequential events using machine‐learning techniques in patients undergoing robot‐assisted partial nephrectomy: a Vattikuti Collective Quality Initiative database study

2020 · 27 Zit. · British Journal of Urology

Artificial intelligence‐driven streamlining of prostate cancer multidisciplinary team recommendations in a tertiary <scp>NHS</scp> centre in the UK

2025 · 2 Zit. · British Journal of Urology

EAU Robotic Urology Section Host Centres certification: Current status of training in robotic Urology in Europe

2018 · 1 Zit. · European Urology Supplements

MP23-02 DEVELOPMENT AND CONTENT VALIDATION OF A SAFETY CHECKLIST FOR ROBOT-ASSISTED RADICAL PROSTATECTOMY

2015 · 0 Zit. · The Journal of Urology

MP11-04 LEARNING CURVE IN ROBOT-ASSISTED RADICAL PROSTATECTOMY: PRACTICE MAKES PERFECT, BUT WHAT PRACTICE?

2016 · 0 Zit. · The Journal of Urology

MP22-05 EVALUATION OF TECHNICAL LEARNING-CURVES FOR ROBOT ASSISTED RADICAL PROSTATECTOMY - A MULTI-INSTITUTIONAL STUDY

2015 · 0 Zit. · The Journal of Urology

PYJ02: Development and validation of the checklist based assessment tool for robot assisted radical prostatectomy

2014 · 0 Zit. · European Urology Supplements

MP68-12 PREDICTING INTRAOPERATIVE COMPLICATIONS AND 30-DAYS MORBIDITY USING MACHINE LEARNING TECHNIQUES FOR PATIENTS UNDERGOING ROBOTIC PARTIAL NEPHRECTOMY

2020 · 0 Zit. · The Journal of Urology