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BJUI/BURST: Machine Learning Partial Nephrectomy Complications

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Manage episode 273428982 series 1877788
Content provided by BJUI - BJU International. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BJUI - BJU International or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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.
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53 episodes

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Manage episode 273428982 series 1877788
Content provided by BJUI - BJU International. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BJUI - BJU International or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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.
  continue reading

53 episodes

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