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  1. Using innovative artificial intelligence (AI)-powered technologies in cardiac surgery and improving patient care - Mayo Clinic

    Mayo Clinic Cardiovascular Surgery specialists are embracing AI-powered technologies and improving outcomes for patients.

  2. AI and Systems Engineering - Department of Otorhinolaryngology - Mayo Clinic Research

    Mayo Clinic is a nonprofit organization and proceeds from Web advertising help support our mission. Mayo Clinic does not endorse any of the third party ...

  3. Benefactor-funded research — Chen Career Development Awards in Artificial Intelligence (AI) - Center for Clinical and Translational Science

    ... development awards through Mayo Clinic's CCaTS support faculty members seeking to advance their translational research pursuits into the field of AI.

  4. Software and data - Integrated Systems Biology and AI — Tailored Pharmacology and Precision Medicine: Hu Li - Mayo Clinic Research

    View software available in the Integrated Systems Biology and AI — Tailored Pharmacology and Precision Medicine Lab led by Hu Li, Ph.D.

  5. Transforming healthcare and research with AI-driven tools - Mayo Clinic

    Through its patient care and research initiatives, Mayo Clinic has been busy building one of the largest repositories of clinical data in the world.

  6. Artificial intelligence - Mayo Clinic

    These include detecting pancreatic cancer earlier, using AI algorithms that improve outcomes for stroke patients, predicting cardiovascular disease, and ...

  7. Overview - Artificial Intelligence and Informatics - Mayo Clinic Research

    Learn how Mayo Clinic's Department of Artificial Intelligence and Informatics leverages biomedical informatics with AI to improve human health.

  8. PAIN (Pain AI iNtervention) Platform for Patients at Home - Mayo Clinic

    The purpose of this study is to personalize pain medication regimens leveraging sensor-driven, digital ecosystems that can recognize subtle markers of pain and ...

  10. https://www.mayoclinic.org/chinese_patient_consumer_web.xml