Victor Hospital along with Dhakankar Robotic Centre launched the Rosa Robotic Knee Replacement System, the latest robotic system in orthopedic surgery. The launch was on July 16.
The robotic surgical assistant represents a new era in joint replacement by combining the precision of robotics with the expertise of skilled surgeons. The AI powered system offers personalized, highly accurate knee replacements with numerous benefits for patients. It eliminates the need for CT scans and delivers a more natural-feeling knee post-surgery, among other benefits.
Speaking on the occasion, Dr Shreeram Ashok Kamat Dhakankar said, “After 17 years in the field of joint replacement and after carrying out over 1500 knee surgeries I felt it was time to take a bold step and up the game. Through this cutting edge system we will have embraced technology and AI at its finest.”
Dhakankar pointed out that, on July 1, which is coincidentally celebrated worldwide as Doctor’s Day, he performed Goa’s first robotic knee replacement on the ROSA system at Victor Hospital. “The surgeries have good outcomes and patients are mobilised and can start walking within 12 hours of surgery,” he said.
Speaking at the launch, Victor Hospital director Varun Albuquerque, said, “It is our constant endeavour to serve the community with the latest technology and skilled doctors. It is a matter of pride for us today to unveil the Robotic Surgical Assistant for joint replacements along with Dhakankar Robotic Centre. We are sure that along with the technology, the skills of Dr Dhakankar and the entire set up of Victor Hospital we will be able to provide the best treatment to patients which will be precise, accurate and safe.”
Also present at the formal launch were, Alcon Victor Group, chairperson & MD, Sylvia Albuquerque, Victor Hospital, executive director Roana Costa, and Dr Ajay Gangoli, COO and MS of the hospital.
Unlike conventional knee replacement, which relies heavily on preoperative imaging and manual techniques, ROSA uses a combination of preoperative imaging (such as X- rays) and intra-operative data collection to map the knee joint in three dimensions.
