AI Is Reading 15 Million X-Rays a Year With No Human in the Loop | Prashant Warier, Qure.ai

Is the doctor's office of the future going to be a bunch of these systems, and the doctor kind of guides you? The AI gives the doctor a cheat sheet on what he should pay attention to. You go in and get a body scan. The doctor gets a report of what he should pay attention to. Is health care moving in that direction? My personal belief is that primary care will be AI in the future, maybe five to ten years from now. We have to be more proactive about diagnostics, and we'll see algorithms play a role in that. I think that where definitely the world is headed, where diagnostics will happen much earlier to the amount of data that we are generating. And AI has a big role to play in that journey. So let's start with with you introducing yourself to listeners. Hi. My name is Prashant Warriar. I'm the cofounder and CEO of Cure. I've been, building AI algorithms for the last twenty five years. I did a bachelor's, in technology out of, in engineering out of India from one of the IITs, IIT Delhi, and, went to The, US Georgia Tech did a PhD in operations research. My PhD was optimizing trucking networks for for the for US, trucking organizations and, spent, I mean, did that, went on to work for SAP where I was, basically doing price optimization for retail, so price optimization, markdown optimization, demand forecasting, a bunch of retail and consumer products problems. This was all in The US. I came back to India, about fourteen years ago and, set up an advertising technology startup, which was using AI to, to basically collect consumer behavior from a lot of ecommerce sites in India and then use that to target the right ads, for customers. And, then, that, got an exit for that about ten years ago and started Cure, slightly less than ten years ago focused on AI, in the health care space. And, we'd be yeah. We'll talk about the Cure journey today. Yep. And and so talk about what CureAI was founded to do and how it has evolved. So we when we started, our hypothesis was that, that image recognition algorithms, I mean, this there's Alex network that was one of these neural convolutional networks that was released in 2012. Right? And, our hypothesis was that can we sort of take some of those techniques, apply it to a lot of radiology images, billions of them, and Right. Would that enable us to then identify abnormalities on a X-ray or a CT scan? And that was the hypothesis when we started. And, of course, I mean, we we did that. Spent a lot of time collecting data because getting access to anonymized, the identified customer data, patient data is not easy. And, so spent almost the first year, just working with hospital systems, especially we started out of India. So working with hospital systems in India, getting, de …