Clinical AI Drives Early Detection of Undiagnosed Diseases with Sean Cassidy Lucem Health TRANSCRIPT

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Sean Cassidy, CEO and Co-Founder of Lucem Health, is applying AI to identify patients at high risk of undiagnosed conditions like cancer and diabetes. The goal is to facilitate earlier diagnosis and treatment by flagging patients that need screening based on the AI plaform's ability to analyze EHR data and demographics of diverse patient populations to ensure broad scalability. This technology was designed to integrate into existing clinical workflows for established screening procedures rather than making direct treatment recommendations.

Sean explains, "The origin of the company, the idea for the company, originated within Mayo Clinic in about 2020. Mayo Clinic has faced a challenge, and I think sometimes continues to face a challenge that a lot of researchers in AI have faced, which is how do you get promising AI in a clinical context from the so-called bench to the bedside? How do you get it from the lab into clinical practice? And what they realized was that while the data science and the AI part of it is really interesting, what was needed was scaffolding around the AI to facilitate integration with data and integration with workflows, a measurement and monitoring system, and so on and so forth."

"We are trying to facilitate, and you're going to see us begin to expand the aperture, if you like, or open the aperture of how we position the company. Because as we've gone on, we have realized that the opportunity here is to actually help healthcare provider organizations, health systems, and so on, create really high-impact care delivery programs that have at their core or feature at their core earlier diagnosis, accelerated treatment, earlier treatment and therefore better outcomes for patients and hopefully even saved lives. So that's the generic approach that we take."

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