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Listen "BJUI/BURST: Machine Learning Partial Nephrectomy Complications"
Episode Synopsis
In this podcast Arjun Nathan discusses the paper:
Predicting intraoperative and postoperative consequential events using machine learning techniques in patients undergoing robotic partial nephrectomy (RPN): Vattikuti Collective Quality Initiative (VCQI) database study
(https://bjui-journals.onlinelibrary.wiley.com/doi/10.1111/BJU.15087)
Arjun Nathan is an ST1 in Urology in North London, UK and NIHR Academic Clinical Fellow with the Royal College of Surgeons. He is also the BURST Treasurer and committee member.
Predicting intraoperative and postoperative consequential events using machine learning techniques in patients undergoing robotic partial nephrectomy (RPN): Vattikuti Collective Quality Initiative (VCQI) database study
(https://bjui-journals.onlinelibrary.wiley.com/doi/10.1111/BJU.15087)
Arjun Nathan is an ST1 in Urology in North London, UK and NIHR Academic Clinical Fellow with the Royal College of Surgeons. He is also the BURST Treasurer and committee member.
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