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  1. https://www.mayoclinic.org/chinese_condition_consolidated_concepts.xml

    ... url><url><loc>https://www.mayoclinic.org/zh-hans/diseases-conditions/congenital-heart-defects-children/care-at-mayo-clinic/mac-20350083</loc><lastmod>2024 ...

  2. 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.

  3. 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.

  4. The emerging role of AI in medicine, gastroenterology and hepatology - Mayo Clinic

    In this Q & A, Mayo Clinic gastroenterologist Shounak Majumder, M.D., discusses this tool's potential impact within health care and within ongoing research, ...

  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. Screening for PPCM Using AI - Clinical Trials

    The overall goal of this study is to investigate the use of artificial intelligence (AI) techniques as a screening tool for cardiomyopathies in pregnancy ...

  7. Determining if LAAO will benefit patients with AFib using novel AI algorithm - Mayo Clinic

    A study published in JACC: Clinical Electrophysiology shows how Mayo Clinic cardiovascular researchers developed an innovative AI algorithm to help clarify ...

  8. Artificial intelligence - Mayo Clinic

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

  9. AI model improves risk stratification for liver transplant patients - Mayo Clinic

    A new ECG-based machine learning model is giving transplant surgeons a better predictor of severe liver disease and a tool for risk stratification.

  10. AI-SCREENDCM Decentralized Clinical Trial - Pilot Study

    About this study. The purpose of this study is to assess the feasibility and impact of screening FDR of DCM probands using a mobile ECG with the ability to ...