Computer Vision News - May 2023

38 Precision Surgery of data . It had to devise self-supervised learning approaches to make the most out of the available data and set up controlled environments to capture more information to validate its algorithms. Another risk the company was keen to mitigate was the real-time AI hallucinating features , driving the surgery in an unintended direction. The regulatory but luckily, Michael and Tom had factored this in from the outset. “ The link to surgeons is core to what we do, ” Michael reports. “ We’ve taken on surgeon input from the very start. That’s why we’ve designed a seemingly conventional laparoscopic system . It has the same form factor, usability, and color vision, but under the hood, we capture so much more hyperspectral data in a sparse manner. It’s all about the simplicity of integration . To the user, nothing changes in how they use the camera or perform surgery, but at the flick of a button, they can switch from the RGB vision that a surgeon already sees and is comfortable with to an overlay they don’t see yet but need to. ” Hypervision Surgical faced a not- unexpected challenge that comes with developing new technology with a new sensor: the scarcity