Welcome to the Empowered Patient Podcast with Karen Jagoda. This show is a window into the latest innovations in applying generative AI, novel therapeutics and vaccines, and the changing dynamics in the medical and healthcare environment. One focus is on how providers, pharmaceutical companies, and payers are empowering patients. In addition, conversations are often about how providers, care facilities, pharmaceutical companies, and payers are being empowered by technology to improve patient outcomes and reduce friction across the healthcare landscape.
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Sep 27, 2023
Dr. Ed Chekan is certified in general surgery and is Vice President of Medical Affairs and Professional Education at Asensus Surgical, which is taking the platform of laparoscopic surgery and adding augmented intelligence technology. Laparoscopic surgery currently starts with a digital interface in a video image. Asensus is adding augmented intelligence to the video image in real-time to support the surgeon and surgical team with additional information to improve outcomes and the experience of the clinicians.
Ed explains, "We're starting with things already being done. We have a feature that is a digital measurement. This allows the surgeon, if measurement is critical to this portion of the procedure, for instance, in general surgery, we'd say five to six centimeters from the pylorus, to start a staple line in a sleeve gastrectomy. We either estimate that through different ways, or we'd have to put a tape measure inside the patient to measure that distance accurately to get that measurement. So we're doing that now digitally."
"We have a telemanipulator. Our Asensus system is currently the second telemanipulator to be approved in the US. And so, we have it in a few centers already. And that integrates into the operating room as separate arms on separate pods or platforms that can be moved around, connected to a cockpit or a console, where the surgeon sits to do the manipulating."
"Then, the video feeds feed into our Intelligent Surgical Unit or ISU, and those video images are processed and sent to the cloud. We'll store them, we could annotate them, and we can also use them to influence, in real-time, certain types of feedback based on what would be interpreted from the video image. So, someone else is watching the video. The computer is watching the video, too, to tell you things that are happening."
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