Join the Machine Learning in Medical Imaging Consortium (MaLMIC) for an opportunity to network on machine learning
Translating AI/ML into products
November 24, 2023
3:00 to 4:30 p.m. Eastern
This forum will focus on translating AI-based innovations in medicine into the commercial world and the clinic. The first speaker, Qian Cao, will talk about developing AI-enabled software as a medical device and the FDA Centre for Devices and Radiological Health’s perspective on AI/ML devices. Our second speaker, Eli Gibson, will talk about the complexities of translating AI/ML ideas from a manufacturer’s perspective and showcase examples. The presentations will be followed by questions and answers about the talks, and discussion focused on lessons learned, opportunities to collaborate, and sharing of data.
Interested in joining? Please contact us.
Translating AI/ML into products
November 24, 2023
3:00 to 4:30 p.m. Eastern
This forum will focus on translating AI-based innovations in medicine into the commercial world and the clinic. The first speaker, Qian Cao, will talk about developing AI-enabled software as a medical device and the FDA Centre for Devices and Radiological Health’s perspective on AI/ML devices. Our second speaker, Eli Gibson, will talk about the complexities of translating AI/ML ideas from a manufacturer’s perspective and showcase examples. The presentations will be followed by questions and answers about the talks, and discussion focused on lessons learned, opportunities to collaborate, and sharing of data.
Interested in joining? Please contact us.
Qian Cao, PhD
Visiting Scientist, U.S. Food and Drug Administration
Talk Title: Considerations for Developing AI-enabled Software as a Medical Device (SaMD)
Talk summary: In recent years, there has been a growing number of AI-enabled medical devices. In this talk, we will review good practices and challenges for training AI-enabled models and evaluating their real-world performance.
Eli Gibson, PhD
Director of Engineering – Neuro AI, Siemens Healthineers
Talk Title: AI for Healthcare: From Patient Twinning to Precision Therapy
Talk summary: This talk is designed to explore the complexities of transforming AI/ML ideas into clinical products from a medical device manufacturer’s perspective. We will examine a collection of ideas developed at the Siemens Healthineers AI Technology Center, showing a spectrum from those that are still in the concept phase to those that have been successfully integrated into products. The audience will gain insights into some challenges and successes of AI/ML translation, the importance of interdisciplinary collaboration, and the future of AI/ML in healthcare