Join us for the hottest topic in healthcare and this year’s AI Virtual Summit on Sept. 9th starting at 12:30pm ET. Hear from industry leaders from CHI, P-n-T Data Corp., Collette Health, Heidi Health, and Mount Sinai Health System. Register today!
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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.
By Mike Coen – Over the past decade, health systems have invested heavily in digital tools and analytics to enhance visibility and decision-making. Yet, for all the dashboards and real-time data, one fundamental hurdle remains: transforming insight into actions.
By Dalton Han – AI is often viewed through a lens of fear and misunderstanding. Popular culture has long painted AI as a dangerous force, much like the films The Terminator and Ex Machina, portrayed machines as sentient beings poised to overtake humanity. But in reality, AI is neither sentient nor inherently dangerous.
By Heather Bassett MD – Our patients can’t afford to wait on officials in Washington, DC, to offer guidance around responsible applications of AI in the healthcare industry. The healthcare community needs to stand up and continue to put guardrails in place so we can roll out AI responsibly in order to maximize its evolving potential.
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.
NOW on-demand, Value-Based Care Insights host Daniel J. Marino speaks with Dr. David Nash and Rick Howard to explores the evolving role of artificial intelligence (AI) in population health. As AI continues to dominate industry conversations and drive vendor offerings, healthcare leaders are faced with questions: What is real, what is hype, and where does the value lie?
By Jim Younkin – While Americans have generally embraced consumer technologies like smartphones and social media, healthcare AI is proving to be different. Consumer technologies typically gain widespread adoption despite initial concerns, but healthcare AI faces deeper skepticism from both providers and patients.
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.