Cardiologist-Level Arrhythmia Detection w/ Convolutional Neural Networks – Meetup #9 – June 2018
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This video is a recap of our June 2018 TWiML Online Meetup.
In this month’s community segment we briefly cover the us use of machine learning in agriculture use cases, a recent Google “AI Principles” blog post, recently released researched coming from our friends at OpenAI: Improving language understanding with unsupervised learning.
In our presentation segment, Kelvin Ross, director with IntelliHQ, a healthcare AI firm based in Queensland, Australia, joins us to present the paper Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks describing an algorithm developed by Stanford researchers that has been able to exceed human expert performance in identifying cardiac arrhythmias based on raw ECG readings. We also covered the broader issues associated with data capture and labelling, as well as longer term heart-rate variability, which can be used as a predictor or early warning for sepsis, fatigue, shock, concussion, heart attack, stroke, and more.
For links to the papers mentioned above and more information on this and previous meetups, or to get registered for upcoming meetups, visit twimlai.com/meetup!
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