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A study published in JACC: Clinical Electrophysiology shows how Mayo Clinic cardiovascular researchers developed an innovative AI algorithm to help clarify ...
Artificial intelligence (AI) is emerging as a tool with which gastroenterologists can improve colon polyp detection rates, characterization and management.
View faculty and staff of the Integrated Systems Biology and AI — Tailored Pharmacology and Precision Medicine Lab led by Hu Li, Ph.D.
The purpose of this study is to evaluate the impacts of an ECG-AI algorithm to detect low left ventricular ejection fraction (LVEF) and an associated clinical ...
Mayo Clinic researchers have developed an algorithm that reveals the complex results of stimulating brain networks. The goal is to develop ...
Highlights of the lab's current research projects include development in the following areas: ECG-based detection of cirrhosis using the AI-Cirrhosis-ECG (ACE) ...
The purpose of this study is to assess the effectiveness of the Low EF AI-ECG and encompassing software for detecting LVEF ≤ 40% by echocardiography, compared ...
Drug repurposing to expand treatment options for patients leaps forward with an advance in machine learning from Mayo Clinic researchers and collaborators. Led ...
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 ...
Virtual DOT records short, time-stamped videos of patients taking each dose of a prescribed inhaler. These recordings help health care providers correct and ...
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