Using simulation to enhance training and improve outcomes in robotic assisted surgery

9th August 2022, 20:00 to 21:00 BST


Robotic assisted surgery is well established in urology and its role is expanding in many other surgical specialties. With the advancement of robotic surgery there is a clear need for safe training pathways, which enhance technical and non-technical skills for surgeons and ensure improved outcomes for patients. Surgical simulation is a key component of this training pathway.

This webinar, delivered by two experts in robotic surgical simulation, will present the advancements in robotic surgical simulation in urology. They will discuss how simulation can improve surgical skills and patient outcomes and the evidence to support this. As well as assessing the current status of simulation in urological robotic surgery, the speakers will address potential future developments such as mental imagery and machine learning and how all of the lessons learnt can be applied to their surgical specialties. 


  • Describe how simulation can be incorporated into training in robotic assisted surgery and how these simulation techniques can improve outcomes.

Learning Objectives

By the end of the webinar, participants will:

  • Have an understanding of how simulation can be integrated into training in robotic assisted surgery
  • Appreciate how simulation can improve outcomes in robotic assisted surgery
  • Have an understanding of innovative methods for assessing technical skills.

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Our panellists include:

Dr Andrew Hung

Dr Andrew Hung is Assistant Professor of Urology at the University of Southern California, Keck School of Medicine, treating diseases of the adrenal, kidney, ureter, bladder and prostate. Dr. Hung is a recognized leader in the development of innovative surgical simulation technologies. To train the next generation of urologic surgeons, he developed the first-ever procedure-specific simulation for robotic surgery. Supported by both industry and the National Institutes of Health, Dr. Hung has also become a leading innovator in the development of automated performance metrics for robotic surgery. His collaboration with data scientists has harness machine learning algorithms to better predict robotic surgical outcomes. Dr. Hung has produced almost 200 papers on surgical assessment and training in leading journals, including the Journal of Urology and JAMA Surgery. 

Professor Prokar Dasgupta 

Professor Dasgupta is King’s Health Partners Professor of Surgery, Chair in Robotic Surgery and Urological Innovation at Kings College London and Consultant Urological Surgeon at Guy’s and St Thomas’. Prof Dasgupta is  acknowledged as a leading educationalist, starting a successful BSc in surgical science at KCL and looking for the evidence underpinning simulation in operative surgery, human factors and patient safety. He developed the world's first laparoscopic nephrectomy simulator, led the EU-MARS project of the development and validation of robotic surgical training and the only international randomised trial of simulation for patient benefit – the SIMULATE study.


1 Hour

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A recording of the webinar will be made available on this page in the days following the live broadcast.

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