39 Benefits of AI for Surgical Video Analysis Computer Vision News stone extraction or stent placement. The phase detection can help the trainee to easily locate and focus on the most complicated task – the cannulation – instead of browsing over hours of footage in search for this phase. Perhaps surprisingly, the savings extend beyond the operating room, too. "By enhancing surgical techniques and reducing complications, surgical video analytics can drive down the associated costs," Asher told us. The more efficient a surgeon becomes, the shorter the surgeries and the less they cost. Let’s use the same ERCP example: besides achieving successful cannulation and helping navigate through challenging anatomical structures, surgical video analysis provides a precious help in recognizing and preventing complications associated with the procedure - such as pancreatitis, bleeding, perforation, and infection. Surgical video analysis allows for a retrospective review of ERCP procedures, enabling endoscopists to identify factors that may contribute to complications and learn ways to avoid them. "So yes, it's a lot," Asher admitted with a smile, "but at the end of the day, it's about more than just technology. It's about better surgeries, healthier patients, and a brighter future for healthcare. That's the true promise of AI in surgical video analysis!" The research prospects in this rapidly expanding field are packed with potential, covering everything from shot boundary detection to video summarization. It's an exciting set of opportunities, and RSIP Vision’s AI experts and engineers stand at the forefront. With their extensive knowledge and experience, they can produce the right algorithms to unlock the full potential of AI in surgical video analysis. Contact us andwe’ll talk about it!
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