Zühlke – Empowering Ideas

 

Machine Learning for Health: Bridging the Gap between Research and Medical Practice

In this Webcast we will show how AI projects can be executed in a regulated setting. We will talk about the specifics of a medical Machine Learning project and how the Data Science Process needs to be adapted at each phase to satisfy regulatory requirements.

We will cover the following topics for AI in health:

  • Example Applications: Computer Vision, NLP and Time Series
  • Norms & Guidelines
  • Verification & Validation
  • Software Development Process
  • Data Science Process & Best Practices
  • Explainable AI

Speakers:

  • Dr. Gabriel Krummenacher, Lead Data Science Team at Zühlke Engineering AG
  • Uwe Szymanski, Lead Architect Embedded Software at Zühlke Engineering AG