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Can AI Models Improve Diagnosis of Pancreatic Cancer?
By John Halamka and Paul Cerrato—Pancreatic cancer remains one of the most life-threatening malignancies because it is so difficult to detect in its earliest, most manageable stage. Recent developments in AI, however, suggest it may be possible to improve the diagnostic process.
By John Halamka and Paul Cerrato—NLP enables humans and computers to communicate in ways never imagined a few short years ago. The results have practical implications for anyone working in healthcare.
Inspired by Mayo Clinic, The Baton Rouge Clinic launched the L.E.G.A.C.Y. program, an organization-wide training initiative that fostered a stronger work culture, inspired staff, and improved employee retention.
By John Halamka and Paul Cerrato— Guidelines and guardrails for the safe use of AI require more than regulation. The Coalition for Health AI has created a framework to reduce these risks and improve the safety and effectiveness of these models.
Tucson Medical Center collaborated with Mayo Clinic Care Network to develop a three-year strategic plan, giving hospital leadership renewed clarity, confidence, and a clear path forward for growth.
Mosaic Life Care launched a lifesaving stroke program to St. Joseph, Missouri with the help of Mayo Clinic Care Network's Health Care Consulting.
Memorial Health System's Susan Knotts found a faster way to develop policy with Mayo Clinic Care Network's consulting support.
By John Halamka and Paul Cerrato — The capabilities of generative AI continue to grow. Using them wisely will likely improve clinical decision making.
By John Halamka and Paul Cerrato — The Oxford Dictionary says disease is a disorder of structure or function, especially one that has a known cause and a distinctive group of symptoms, signs, or anatomical changes. It’s time to rethink that simplistic definition.
By John Halamka and Paul Cerrato — In part one, we discussed the shortcomings of evidence-based medicine and the disconnect between RCTs and bedside clinical care. Part 2 explores possible solutions, including machine learning-based algorithms.
By John Halamka and Paul Cerrato — Evidence-based medicine has benefited patients in countless ways, but there’s a disconnect between EBM and the clinical care that is typically delivered at the bedside. Pragmatic, real-world trials and AI-based algorithms may help solve the problem.
A patient with a rare cancer found hope thanks to his dedicated physician at Minnesota Oncology and the Mayo Clinic Care Network.
By John Halamka and Paul Cerrato — In part 2 of our series on the basics of digital technology, we explore the deep learning tools that can improve medical image analysis and much more.