Please provide your email address to receive an email when new articles are posted on . A machine learning-based model more accurately predicted mortality after cardiac surgery than population-based ...
Please provide your email address to receive an email when new articles are posted on . For the TARGET trial, presented at the American College of Cardiology Scientific Session and simultaneously ...
New machine learning model predicts cardiac arrest in ICU patients using ECG data with high accuracy
In a recent article published in Npj Digital Medicine, researchers utilized electrocardiogram (ECG) data from a large retrospective cohort to extract various heart rate variability (HRV) measures.
Girish Melkani and Team Leverage Machine Learning to Uncover Insights into Cardiac Aging and Disease
Melkani's study, “Automated assessment of cardiac dynamics in aging and dilated cardiomyopathy Drosophila models using machine learning,” was published in Communications Biology (A Nature Portfolio ...
Announcing a new article publication for Cardiovascular Innovations and Applications journal. Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication that increases morbidity ...
A machine learning-based model that enables medical institutions to predict the mortality risk for individual cardiac surgery patients has been developed by a Mount Sinai research team, providing a ...
The global AI in cardiology market size is expected to reach USD 14.83 billion by 2033, registering a CAGR of 31.17% from ...
Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
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