Augmenting Population Health Strategies with AI
Why the availability of clinical Artificial Intelligence (AI) solutions offers truly measurable gains to population health programs.
Why the availability of clinical Artificial Intelligence (AI) solutions offers truly measurable gains to population health programs.
Examples of preventing hospitalizations with AI that detects diseases early – allowing for outpatient management before conditions worsen.
In this post, we explore the potential of clinical AI for cancer detection, specifically highlighting colon, lung, and breast cancers.
23% of American adults have undiagnosed diabetes, and the problem has only been exacerbated by the COVID-19 pandemic. What can we do?
In this blog post, we explore some applications and use case examples of AI in life sciences being used today.
A look into the economics of AFib and how preventing stroke risk helps boost your outpatient services revenue.
Lucem Health featured as one of the "Top 10 AI Titans Empowering Family Offices in the Age of AI: Investment Trends and Opportunities".
Explore the primary treatment pathways for atrial fibrillation (AFib), highlighting key options and the importance of early detection.
Learn how the latest advancements in health IT can enhance atrial fibrillation detection and prevent serious complications.
Learn the critical role of detecting advanced adenomas to prevent colon cancer, and what we can do about it today with AI-enabled targeting.