SurgiSim Pro
An Indigenous Low-Cost Robotic Surgical Training System
Minimally Invasive Surgery
Small Incisions: Typically, 0.5 to 1.5 cm in size, compared to larger incisions in traditional surgery.Advanced Instruments: Use of specialized tools like laparoscopes and endoscopes equipped with cameras for internal visualization.cRobotic Assistance: Sometimes employs robotic systems for enhanced precision and control.
Benefits
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Reduced Trauma
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Less Pain
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Quicker Recovery
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Lower Risk of Infection,
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Minimal Scarring
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Reduced Blood Loss
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Enhanced Precision
Robotic Assistance
Robotics enable surgeons to operate through tiny incisions, leading to less tissue damage, reduced scarring, and faster recovery times for patients.
Surgical Robots are Expensive & can not be used for Training
da Vinci Surgical System - $ 1.5 Million
hugo RAS System - ~ $ 2 Million
Versius Surgical System - ~ $ 1.5 Million
Symani Surgical System - High Cost
Senhance Surgical System - ~ $ 1.5 Million
For an Affordable Training System
SurgiSim Pro by Avalg
Accessibility
Low-cost training system ensures that more institutions can provide essential training.
Scalability
Can be more easily scaled to accommodate large numbers of trainees, which is essential for meeting the growing demand for skilled surgeons.
Risk Reduction
Training on a low-cost system reduces the risk of errors during actual surgeries.
Resource Efficiency
a low-cost training system frees up these expensive systems for patient care rather than training.
Innovation and Adaptability
Can incorporate latest simulation technology and virtual reality, offering realistic training scenarios that can be easily updated and adapted as surgical techniques.
Patents & Publications
Patents:
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Jitendra P. Khatait, & Amanpreet Singh. (2020). Remote Centre-of-motion (RCM) Adjusting System and Method of Adjustment thereof for Medical/Surgical Devices. India Patent Application No. 202011039727. Filed on Sep 14, 2020.​
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Jitendra P. Khatait, & Amanpreet Singh. (2020). Tension Adjustment Mechanism for Tendon Driven Mechanisms. India Patent Application No. 202011036132. Filed on August 21, 2020.
Publications:
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Amanpreet Singh, & Jitendra P. Khatait (2023). Sensitivity Analysis of a Double-Parallelogram based RCM Mechanism used for MIS Robots. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 2023. 0(0). [DOI: 10.1177/09544062231153818] ​
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Amanpreet Singh, & Jitendra P. Khatait (2022). Mechanism for Tension Adjustment in Tendon Driven Remote Center-of Motion Mechanism for Minimally Invasive Surgery. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 2022, Vol. 236, Issue. 16, pp. 9293-9305. [DOI: 10.1177/09544062221093899]