Why the Best Way to Train a Surgeon Is in Virtual Reality ft. Justin Barad, Osso VR
2026-07-13 · 53 min · 11 entities
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Why the Best Way to Train a Surgeon Is in Virtual Reality ft. Justin Barad, Osso VR
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Why the Best Way to Train a Surgeon Is in Virtual Reality ft. Justin Barad, Osso VR
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Why the Best Way to Train a Surgeon Is in Virtual Reality ft. Justin Barad, Osso VR
Episode description as stored
Justin Barad is a pediatric orthopedic surgeon, a former Activision game developer, and the founder of Osso VR — one of the few companies in XR that has quietly built a real, profitable business while most of the industry was still searching for one. He joins Charlie and Ted to talk about why virtual reality turned out to be uniquely suited to medical training, and why the way we train surgeons today is still built on a model developed in the 1800s by a brilliant doctor with a serious drug problem.
The core argument of the episode is simple: you should not practice on patients. The aviation industry figured this out decades ago — pilots recertify in simulators, not planes. Medicine has been slower to get there, but Osso VR is making the case with data. Nine published studies. Used in 50 countries. Over 300 training modules. And an objective assessment system that, in one study, showed a 230% performance difference between surgeons measured to be competent and surgeons who simply felt ready.
Justin and Ted go deep on why objective assessment is the real power of the technology, not the immersion. They talk about why the residency model hasn't fundamentally changed since the 1890s, what it would take to actually shorten the 14-year road to becoming a surgeon, and why the company's most exciting growth right now isn't surgeons at all — it's nurses and allied health professionals, a market that dwarfs surgery by a factor of ten. The episode closes on an honest look back at 2016, when everyone in XR thought they were a year or two away from changing everything, and what Justin learned from being one of the first people to test those assumptions against reality.
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