Skip to content

Neural Network Development for ECGs

Study Status: Completed

Provided third phase support to help validate a new artificial intelligence platform called a ‘convolution neural network classifier’. The study evaluated the platform’s performance on various arrhythmias diagnosed on 12-lead ECGs and single-lead Holter monitors. The solution focused on identifying the correct arrhythmia at the time of a significant clinical event, including a cardiac arrest.

This tool aims to automate accurate ECG readings, especially among more sinister arrhythmias, to aid clinicians in their workup of patients lacking access to modern healthcare services. 

https://clinicaltrials.gov/ct2/show/NCT03662802

Login

Join us forDigital Medicine Conference 2020

Join us for this weeklong event that is unlike any other. You’ll leave feeling inspired, energized, and thinking differently about the future of healthcare.