AI Helps Achieve Better Treatments

Mayo Clinic, leaders have identified several areas of opportunity for the use of Artificial Intelligence (AI)  in healthcare. For example, cardiovascular medicine doctors and scientists at Mayo Clinic are combining AI with clinical practice for better care.

AI at Mayo is being used to program computers to process and respond to data quickly and consistently for better treatment outcomes. For example, the Clinic’s AI cardiovascular team is using new techniques related to technology to do early risk detection and prediction of serious and complex heart problems.

AI is currently helping people who have had a stroke. In ERs, when people come in with a stroke called an intracerebral hemorrhage, they receive a CT scan. Then a computer trained to analyze CT data is able to make the diagnosis.

AI can be used to detect a-fib sooner since AI guided ECGs can be used to detect faulty heart rhythms before any symptoms are evident and can be used to enhance diagnostic radiology capabilities.

AI used to prevent heart problems by applying AI to ECGs, has resulted in a low cost test that can be widely used to detect a weak heart pump which can lead to heart failure if left untreated.

The Mayo Clinic cardiovascular medicine team was among the first to rapidly develop and validate new AI tools and technologies. Possible future uses are still in development. Such future uses in the future include:

  • Predicting risks early in conditions such as embolic stroke
  • Monitoring the heart and detecting arrhythmia in smart clothing projects
  • Developing AI technology compatible with smartphones and high tech stethoscopes


Recently, in a project to revolutionize diagnostic medicine, Mayo launched a new Remote Diagnostics and Management Platform (RDMP). RDMP will be used to deliver the next generation of clinical decision support tools, diagnostic insights, and care recommendations to help clinicians make faster and more accurate diagnoses. The RDMP connects data with innovative new AI algorithms to augment human decision-making within existing clinical workflows.

To support RDMP, Mayo Clinic has launched two new companies with partners. The Mayo Clinic and the AI-driven health technology company Anumana Inc., will create and bring to market innovative digital sensor diagnostics by applying AI to Mayo’s deep repository of medical data.

In addition, Lucem Health Inc., will provide the overall platform for connecting remote patient telemetry devices with AI-enabled algorithms including those developed by Anumana and Mayo Clinic.

According to John Halamka M.D., President, Mayo Clinic Platform, “The dramatically increased use of remote patient telemetry devices coupled with the rapidly accelerating development of AI and machine learning algorithms has the potential to revolutionize diagnostic medicine.”.

Share Button