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BJUI/BURST: Machine Learning Partial Nephrectomy Complications
Manage episode 273428982 series 1877788
コンテンツは BJUI - BJU International によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、BJUI - BJU International またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.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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Manage episode 273428982 series 1877788
コンテンツは BJUI - BJU International によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、BJUI - BJU International またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.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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