Research|interactive Medical Simulation
day surgical training involves extensive use of cadavers and animals. Only a few trainees
can practice at a time and they can hardly encounter rare medical conditions during the
course of their study. Besides, objective quantitative assessment of their skills is
difficult. To circumvent these problems and to provide surgeons with almost inexhaustible
training materials, there is significant interest in
HACNetTM: A hybrid architecture for collaborative networking.
PhyNNeSSTM: A physics-driven neural network based simulation system that is capable of simulating the nonlinear physics of deformable bodies at real time rates.
DynamicPointTM: An algorithm for rapid line-based collision detection.
PAFF: A real time meshfree computational algorithm.
VR-NOTES: A simulator for natural orifice transluminal endoscopic surgery
Sponsors : NIBIB R21EB3547, R01EB5807 & R01EB9362
Suvranu De, DSc.