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Systematic Reviews, Meta-Analyses, and Subclinical Disease
By John Halamka and Paul Cerrato —Published research is at the heart of 21st century healthcare, but even the best research has its limitations.
Artificial intelligence has the potential to expand a healthcare organization, reaching more patients and improving outcomes. But how can healthcare leaders help their clinical workforce understand the implications and ensure their buy-in?
In an era where technology is rapidly advancing, Big Data has become a cornerstone in the transformation of healthcare.
Becker's asked C-suite executives from hospitals and health systems across the U.S. to share their focus for the remainder of the year.
Major companies are moving at high speed to capture the promises of artificial intelligence in healthcare while doctors and experts attempt to integrate the technology safely into patient care.
Hundreds of leaders from Rochester, Minn.-based Mayo Clinic and other healthcare institutions gathered recently to discuss how "platform thinking" can transform the industry.
In an era marked by an abundance of options in the health IT marketplace, Mayo Clinic Platform aims to get proven tools to healthcare providers.
Medical innovations don’t happen overnight — but in today’s digital world, they happen pretty fast. Some are advancing faster than you think.
Rochester, Minn.-based Mayo Clinic has named the eight founding members of a global data-sharing network that aims to tailor medical care with artificial intelligence.
Best practices for integrating AI into your technology infrastructure.
At HIMSS24, the president of Mayo Clinic Platform offered some tough truths about the challenges of deploying genAI – touting its enormous potential while spotlighting patient safety dangers to guard against in provider settings.
At one of health technology’s biggest events, the conversation around artificial intelligence has changed.
Mayo Clinic's Dr. Sonya Makhni answers key questions on creating and delivering artificial intelligence, inherent bias and the importance of risk classification systems.