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Season 2: 014 - AI for Detecting Fluctuations in Blood Potassium Levels
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Drs. John Dillon and Paul A. Friedman with the Mayo Clinic recently described their strategy for using AI to create a “bloodless blood test”, a new way of detecting fluctuations of blood potassium levels that patients can perform at home without drawing blood. They described the strategies they used for the development of this test in a recent article in the Harvard Business Review. In our interview, I asked them to elaborate further on the development of this test and discuss some of the limitations as well as the implications for other potential biomarker/symptom correlations that may be measurable with similar approaches.
John J. Dillon, MD, is the director of Mayo Clinic Dialysis Services in the Division of Nephrology & Hypertension and is the former director of the Mayo Clinic’s Nephrology Hospital Practice and Paul A. Friedman, MD, is the chair of the Department of Cardiovascular Medicine at Mayo Clinic in Rochester, Minnesota. Previously, he served as director of the Mayo Clinic’s Cardiac Implantable Device Lab.
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