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Infos
Description
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 originates from the archive of Diese Session stammt aus dem Archiv von MunichMunich . Take me to the program of . Hier geht es zum aktuellen Programm von Munich Munich .
This Session originates from the archive of Diese Session stammt aus dem Archiv von MunichMunich . Take me to the program of . Hier geht es zum aktuellen Programm von Singapore Singapore .