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Implementing AI in Medical Device Development Now and Into the Future

Kelly Cohen  (CTO, Genexia, LLC)

Grant Schaffner  (Staff Consultant, Stress Engineering Services, Inc.)

Joseph Isosaki  (Design Engineer for Digital Surgery, Ethicon Endosurgery, a Johnson & Johnson Company)

Location: 160A

Date: Wednesday, May 6

Time: 10:30am - 11:15am

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. So, what does that mean for the development and application of next-gen medical devices? This panel will discuss the use of AI in medical device development. It will focus on different forms of AI relevant to medical devices including deep learning and genetic-fuzzy algorithms, and trends in implementation of AI in medical device development now and into the future. Topics will include:

  • When is AI/machine learning appropriate for medical device development?
  • Common pitfalls and best practices of machine learning implementation
  • Controlling risk associated with encountering conditions outside of the training domain
  • The future of AI uses in medical device development