Research Projects on Surgical Simulation

For more than 10 years I have coordinated international studies on surgical simulation, including the largest ones in robotic surgery, in collaboration with surgeons.

I had the privilege to be invited speaker at the Annual Congress of the Clinical Robotic Surgery Association in United States and Hong Kong.

I successfully translated the research results into surgical training programs.

My studies were featured on Sky-Tg24, Corriere della Sera, Sanità-Il Sole 24 Ore, Bresciaoggi, StartUpItalia.

Main Studies

  • First application of a virtual reality simulator for robotic surgery to assess innate ability for surgery.
  • Largest international study with da Vinci Skills Simulator.
  • 6.6% of high gifted and 11.6% of low talented individuals.
Moglia A, et al. Surg Endosc. 2014;28:1830-7.
  • First application of AI to predict proficiency acquisition using a virtual reality simulator for robotic surgery.
  • Largest international study with dV-Trainer simulator.
  • Ensemble neural networks reached an accuracy of 0.79 and 0.96 for the prediction of respectively training time and number of attempts to reach proficiency.
Moglia A, et al. Surg Endosc 2022;36:6473-9.
  • Multicenter randomized control trial involving 12 centers accredited by American College of Surgeons.
  • Validation of Fundamentals of Robotic Surgery, a proficiency based curriculum on basic skills in robotic surgery.
  • The experimental group trained with a virtual reality simulator and with 3D printed models performed better than control group on final test on animal tissue in terms of time and number of errors.
Satava RM, et al. Ann Surg 2020;272:384-92.
  • Development of a proficiency based curriculum on abdominal aortic aneurysm repair using e-learning and a virtual reality simulator.
  • Definition of the benchmark at the virtual simulator by involving expert surgeons from 12 major Italian centers.
  • Integration of the results of my research into the software of ANGIO Mentor simulator.
Moglia A, et al. J Surg Educ 2020;77:1592-7.
  • Quantification of the size of fast and slow learners to reach proficiency with a virtual reality simulator for robotic surgery.
  • 5.8% of gifted and 11.0% of low talented medical students to reach proficiency.
  • Fast learners almost five times faster than slow learners to complete training.
Moglia A, et al. Surg Endosc 2018;32:4087-95.
  • Critical Assessment of Published Evidence
  • Limitations and Future Challenges
Moglia A, et al. Eur Urol. 2016 Jun;69:1065-80.

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