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  1. Publications - Ying-Chun Lo, M.D., Ph.D. - Mayo Clinic

    Roden AC, Asiedu GB, Regnier AK, Bois MC, Boland JM, Yi ES, Lo YC, Larson NL, Peters KL, Zhu X, Scott JP, Aubry MC, Maleszewski JJ.

  2. Health Topics - Mayo Clinic News Network

    This week's episode of Tomorrow's Cure comes to you from the PlatforMed Conference, held in June 2025 in Minneapolis. The event brought together more than ...

  3. Health Topics - Mayo Clinic News Network

    This week's episode of Tomorrow's Cure comes to you from the PlatforMed Conference, held in June 2025 in Minneapolis. The event brought together more than ...

  4. Wearable Artificial InTelligence For Cardiac Function And Health Monitoring - Mayo Clinic

    Mobile device-based AI-ECG can reliably detect cardiac dysfunction in lymphoma and sarcoma survivors and smart watch based surveillance for cardiotoxicity is ...

  5. Study to Improve health-related quality of life (HRQOL) in Black Prostate Cancer Patients (CaPQoL) through Whole Person Survivorship Care - Mayo Clinic

    AR can help patients to manage emotions, pain, combat anxiety or fears, and make better decisions. Combined with Artificial Intelligence (AI), with benefits of ...

  6. A Study to Train and Evaluate Machine-learning Models for Medical Imaging - Mayo Clinic

    The purpose of this study is to evaluate machine learning (ML)/AI models used for medical imaging. Participation eligibility. Participant eligibility ...

  7. Artificial intelligence: Potential to improve knee arthritis care - Mayo Clinic

    Artificial intelligence can identify and classify knee osteoarthritis on radiographs as accurately as surgeons. It has the potential to decrease inaccurate ...

  8. Copyright terms for Mayo Clinic authors

    Mayo Clinic grants publisher a perpetual, non-exclusive, royalty-free license to publish such materials as part of the submitted manuscripts in all media. Other ...

  9. Acceptability of Artificial Intelligence and Machine Learning During Colonoscopy for Polyp Detection - Mayo Clinic

    The purpose of this study is to understand and assess patients' current acceptability of machine learning/AI during colonoscopy for polyp detection.Our ...