Impact AI Enabling Early Disease Detection with Sean Cassidy from Lucem Health
AI in healthcare is one of the most researched areas today, particularly on the clinical side of healthcare. Sean Cassidy is the Co-Founder and CEO of Lucem Health. Having worked in digital health for the last twenty years, he joins me today to talk about identifying chronic diseases. Tune in to hear how AI and machine learning are creating efficiencies for different forms of healthcare data, and how changes and challenges are being addressed to improve the process. Going beyond workflow support, we discuss considerations to bear in mind when integrating AI into healthcare systems and how to meaningfully measure efficacy in a clinical context. Sean shares some hard-earned wisdom about leading an AI startup, reveals his big vision for the future of Lucem Health, and much more.
Key Points:
- Introducing guest Sean Cassidy, who co-founded Lucem Health.
- Defining digital health through an overview of Sean’s history in this industry.
- The founding idea behind Lucem Health.
- Different forms of healthcare data and how AI and machine learning can support them.
- Navigating changes in external variables and patient circumstances.
- The downstream diagnosis process and why patients are rarely re-assessed.
- How Lucem Health’s approach facilitates doctors as they continue as they always have.
- Considerations to bear in mind with the clinical adoption of AI beyond workflow.
- How efficacy is measured in a clinical context.
- Advice for leaders in AI startups.
- A vision for the future of Lucem Health.
Quotes:
“We are focused on early disease detection almost exclusively, and so that is using AI and machine learning algorithms to, at any point in time, evaluate the risk that a patient may have a certain disease.” — Sean Cassidy
“Workflow is really important, but there are also other considerations that matter in terms of AI being more widely adopted in clinical settings and healthcare.” — Sean Cassidy
“We are always evaluating and trying to get a deep understanding of whether what we said was going to happen with respect to the performance of the solution is actually manifesting itself in the real world.” — Sean Cassidy
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