Grant Schaffner (Staff Consultant, Stress Engineering Services, Inc.)
Srihari Yamanoor (President, Designably)
Devon Campbell (CPO, Head of R&D, MyBiometry)
Anthony Habayeb (Co-Founder & CEO, Monitaur)
Date: Wednesday, November 4
Time: 3:00pm - 4:00pm
Conference: Digital Health
Vault Recording: TBD
Machine learning and artificial intelligence (AI) have long been signaled as the future of transformative technologies. From diagnostic and imaging technologies to therapeutic applications and robotics, the potential for AI technologies reaches almost every corner of the medtech world. This panel will discuss various forms of AI relevant to medical devices including deep learning and genetic-fuzzy algorithms, and trends in implementation over the next 5 years. You’ll walk away with an appreciation of AI methods that are applicable in both the development process for medical devices, and AI functionality that can be built into the device's function.
Topics covered include:
- When is AI/machine learning appropriate for a specific medical device?
- Assessing and managing risk
- Common pitfalls and best practices of AI and machine learning implementation