The First Predictive AI in Ophthalmology I Deep Eye Medical скачать в хорошем качестве

The First Predictive AI in Ophthalmology I Deep Eye Medical

What if doctors could predict how a patient will respond to treatment, before giving it? In ophthalmology, the standard approach is trial and error. Treat, wait six to eight weeks, image again, then adjust. Meanwhile, one in three patients drops out every year. When they stop coming, they go blind. Manuel Opitz, CEO and Co-founder of Deep Eye Medical, built the first predictive AI approved in ophthalmology. His team's technology predicts treatment response before the next injection, helping doctors personalize care and keep patients engaged. In this episode, we explore: ✅ Why one in three patients drop out of eye treatment, and what happens when they do ✅ How predictive AI shifts ophthalmology from "treat and extend" to "predict and treat" ✅ Why 15 years of drug development hasn't improved treatment efficacy ✅ The path from engineer to CEO, and what Manuel calls "the dark side" of commercialization Whether you're building in healthcare AI, working on regulatory approval, or thinking about what predictive medicine looks like in practice, this conversation offers a clear view into what's possible. ----------------------------------------------- Guest: Manuel Opitz, CEO & Co-Founder - Deep Eye Medical https://deepeye-medical.com   / manuelopitz     / deepeye   Host: Christopher Wilson, Founder - MedAxis AI www.medaxisai.org   / christopher-wilson-medaxisai     / medaxisai   ----------------------------------------------- #Biotech #MedTech #LifeSciences #Ophthalmology #HealthcareAI #Innovation #Entrepreneurship #DigitalHealth