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Panel: Implementing AI in Medical Device Development Now and Into the Future

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)

Location: Biomed Room 1

Date: Wednesday, September 16

Time: 9:30 am - 10:15 am

Track: Track A: Exploring Technologies Supporting the Digital Health Revolution

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 include:

  • When is AI/machine learning appropriate for a specific medical device?
  • Example assessments performed to evaluate the clinical accuracy and efficiency of a robotic procedure
  • Common pitfalls and best practices of AI and machine learning implementation