Resource Library
Take a deep dive into resources from Lucem Health around the topics of early detection, AI/ML in healthcare, and more!
This Week in Clinical AI, Episode 1 (7/29/23)
In the inaugural episode of This Week in Clinical AI, your host, Jeremy E. Pierotti covers three interesting topics around AI in healthcare and provides commentary on what it all means.
Predictive Analytics in Healthcare: An Overview
Explore the transformative role of predictive analytics in healthcare. Discover its potential, real-world applications, challenges, and exciting future trends.
Combatting the Rising Diabetes Numbers Post-COVID-19 with Lucem Health AI Solutions
Discover how Lucem Health AI Solutions for Diabetes are revolutionizing the fight against rising diabetes cases in the post-COVID-19 era.
Preventive Healthcare with AI: A Smarter Approach to Disease Prevention
Explore preventive healthcare with artificial intelligence to better target high-risk patients, enhance health outcomes, and optimize healthcare costs.
Early Detection of Colorectal Cancer Using AI
Discover the potential of AI in early colorectal cancer detection, improving diagnoses accuracy, enabling personalized screening, and overcoming challenges for a better future in cancer care.
In Healthcare, an AI Pause Isn’t Feasible. But, an AI Strategy Is.
Explore why a pressing pause on AI development isn't an option for healthcare and the importance of a strategic approach for success.
Blood Test Offers Additional Approach for Early Cancer Detection: Commentary from Lucem Health
Early cancer detection is a key part of healthcare's long-term goal of early disease detection. Read Lucem Health's perspective on a new blood screening tool for early cancer detection.
Unleashing the Power of AI in Healthcare: Shifting to an Enterprise-Wide Strategy
Learn why an enterprise strategy is crucial for accelerating AI implementation in healthcare and boosting ROI, as well as future-proofing against the influx of new AI technologies.
Solving the Data Dilemma: Building Continuous Improvement into Clinical AI models
Continuous improvement challenges for AI developers As a clinical AI developer, you already understand the importance of monitoring, refining, and improving [...]
