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  1. 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.

  2. Artificial intelligence - Mayo Clinic

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

  3. 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 ...

  4. Labeling of AI/ML-Based Software - Clinical Trials

    The purpose of this study is to to specify the core labeling ingredients for AI/ML-based medical devices and options for tailoring label information for ...

  5. How is artificial intelligence helping to diagnose dementia? - Mayo Clinic

    AI tools can analyze brain scans and compare them to large databases to find patterns linked to specific types of dementia. This process can lead to earlier ...

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

  7. Using AI to improve brain stimulation devices - Mayo Clinic

    Mayo Clinic researchers have developed an algorithm that reveals the complex results of stimulating brain networks. The goal is to develop ...

  8. Overview - Data Analytics and AI for Advanced Liver Disease - Mayo Clinic Research

    Mayo Clinic's Data Analytics and AI for Advanced Liver Disease Lab seeks to develop AI algorithms to improve care of patients with liver diseases.

  9. AI helps map glioma heterogeneity - Mayo Clinic

    Mayo Clinic researchers are using AI to create a system that predicts glioma biology based solely on imaging. The goal is to better personalize cancer ...

  10. AI facilitates EEG approach for diagnosing neurodegenerative disease - Mayo Clinic

    Mayo Clinic researchers have developed a means of analyzing EEG recordings to help with early disease identification. The approach can be a cost-effective, ...