If you have ever faced the daunting decision of whether to undergo surgery, you likely had several questions. Among the myriad considerations were likely questions about the skill and experience of the person holding the knife. New research from the FAMU-FSU College of Engineering could help give surgeons better training for their crucial work.
The Google endowed dean of the college, Suvranu De, led the development of an AI-powered tool that helps to train surgeons by analyzing video of their surgical technique and providing feedback. The research was recently in . "The more training and feedback surgeons-in-training receive, the more their skills will improve," De said.
"We have established a cutting-edge video-based network (VBA-Net) that is a major step in the direction of automating the evaluation of surgical skills effectively. This system uses state-of-the-art for formative and summative evaluations that foster ." VBA-Net is an AI model that learns to distinguish between experts and novices by watching full-length videos of real surgical tasks.
It provides the learner with final scores and online feedback. It automates the task of surgical skill assessment, which is currently performed by trained proctors. The platform merges (DNN) technology with existing video-based surgical assessment to deliver real-time feedback for aspiring surgeons.
Deep neural networks are a form of artificial intelligence that mirror the intricacies of the human brain and aid in tailoring the t.