Analytics and Pop Health

A New Era, Few Guardrails: Strategies for Healthcare Leaders to Mitigate AI Risks Today

By Andrew Mahler – Imagine a large health system implementing an advanced AI-powered imaging tool designed to assist radiologists in identifying abnormalities in chest CT scans. The AI vendor’s marketing materials include data demonstrating faster turnaround times and reduced error rates, promising enhanced efficiency and accuracy.

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NIH Researchers Develop AI Agent

Researchers at the National Institutes of Health have developed an artificial intelligence agent powered by a large language model (LLM) that creates more accurate and informative descriptions of biological processes and their functions in gene set analysis than current systems.





Breaking New Ground in Alzheimer’s Care

By Dr. Jin Hyung Lee – What if the signs of cognitive decline could be caught while the brain is still healthy, opening the door to early interventions that could prevent years of devastating symptoms? This possibility is no longer a distant dream — it’s becoming a reality with the power of artificial intelligence and EEG technology.



AI Can’t Be a Black Box in Rehab Therapy Care

By Keavy Murphy – The adoption of AI within healthcare to improve and streamline workflows and inform clinical decision-making has grown exponentially within the last three years. While the potential is clear, questions around data privacy, compliance, and clinicians’ trust in the technology continue to slow progress.