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Through its patient care and research initiatives, Mayo Clinic has been busy building one of the largest repositories of clinical data in the world.
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 ...
A new ECG-based machine learning model is giving transplant surgeons a better predictor of severe liver disease and a tool for risk stratification.
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 ...
These include detecting pancreatic cancer earlier, using AI algorithms that improve outcomes for stroke patients, predicting cardiovascular disease, and ...
About this study. The purpose of this study is to compare two types of consults' (eConsult and AI generated eConsult recommended) notes for patients seen in ...
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.
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 ...
The clinical indications include chemotherapy, chronic liver disease, focal liver lesions and undergoing surgical liver resections or minimally invasive ...
The purpose of this study is to determine the clinical utility of AI-ECG in the outpatient setting to diagnose or identify patients with moderate or severe ...
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