The Conference for Machine Learning Innovation

Real time Covid-19 detection with Audio AI

Session
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Join the ML Revolution!
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now

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Infos
Wednesday, November 18 2020
12:15 - 13:00

Imagine you could detect Covid-19 with advanced machine learning techniques analyzing the human cough AND providing the results to patients in a safe, non-invasive, timely and cost-effective way?


In this talk, I will go through, how machine learning applied to audio signal analysis can revolutionize traditional healthcare gold standards, and likely catapult the discipline into the next era of digital. I will show how this method aims to change the diagnostic paradigm for Covid-19 patients worldwide and therefore, could contain the rapid spread of the disease. 

You’ll walk away with new knowledge about: 
1. The Unique challenges of implementing AI in healthcare 
2. Current standard Covid-19 testing methods and their effectiveness. You’ll be surprised! 
3. Data Sourcing, Ethics, GDPR and how they can serve you beyond healthcare. 
4. A look under the hood of our model 
5. A truly agile, new work approach to solving one piece of the global pandemic puzzle.

Prerequisites: Machine learning skills, an open mind, a desire to collaborate, co-create, and learn from the great philosopher, Immanuel Kant. Humor can’t hurt, either. And the enthusiam to: Making a potential Covid-19 detection from cough sounds available worldwide as quickly as possible. I look forward to meeting you.

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Online Edition Online Edition .

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This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Berlin Berlin .

This Session Diese Session belongs to the gehört zum Programm von MunichMunich program. Take me to the current program of . Hier geht es zum aktuellen Programm von Online Edition Online Edition , Munich Munich , Singapore Singapore or oder Berlin Berlin .

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