AAMI Summer Learning Series: Artificial Intelligence and Augmented/Virtual Reality Track


The AAMI Summer Learning Series is your opportunity to gain insights from leading health technology, regulatory, and sterilization experts in an interactive virtual format. Each custom track connects you with the content most relevant to success in your role. Registration includes live streaming access and recordings of the sessions. Each webinar can earn you from one (1) to four (4) CEU's towards your ACI certification. Learn when—and where—you want this summer at an incredible value!

Registration Rates

–Registration includes all sessions in the track!–




Session: 1

How Is AI Transforming Diagnostic Imaging?

Monday, July 27, 2:00 p.m. to 3:00 p.m. ET

Artificial intelligence is starting to fundamentally transform diagnostic imaging. The imaging field has used intelligent algorithms for some time, but new methods of machine learning, based particularly on more complex “deep learning,” offer concrete prospects for quantitative, standardized imaging and reporting that may be more personalized. AI algorithms are expected to speed up clinical workflows, prevent diagnostic errors, and reduce missed billing opportunities—thus enabling sustained productivity increases. Above all, AI could lead to more precise results and more meaningful prognostic risk scores and integrate diagnostic radiology even more into outcome-oriented clinical decision making.

Expert Presenters and Panelists:
  • Wesley Gilson, Siemens Healthineers
  • Peter Shen, Siemens Healthineers


Session: 2

Improving Clinical Outcomes through Artificial Intelligence

Thursday, July 30, 2:00 p.m. to 3:00 p.m. ET

The potential of AI to better equip clinicians and improve the quality of patient care has led to widespread investment by medical device manufacturers and healthcare providers. Despite the interest, few AI-driven applications that leverage patient waveform data have achieved widespread adoption. This session will help participants better understand both the potential of AI-based applications, as well as the key challenges that must be addressed prior to deployment and to achieve clinical adoption. Additionally, the content will give insight into new technologies that will support faster development and testing.

Expert Presenters and Panelists:
  • Timothy Ruchti, Nihon Kohden


Session: 3

Challenges and Current State of AI in Healthcare

Monday, August 3, 2:00 p.m. to 3:00 p.m. ET

Sit in on this panel discussion and learn about the current state of Artificial Intelligence (AI) in healthcare standards, regulations, and real-world use cases. The panel will also discuss the challenges in establishing trustworthiness and "Explainability" for critical AI healthcare applications. You’ll be able to explore some of the challenges to our traditional product development processes— for example, if AI is a "black-box," how do you perform root cause analysis when things go wrong?

Expert Presenters and Panelists:
  • Pat Baird, Philips
  • Rohit Nayak, Electronic Registry Systems, Inc.
  • Erin Sparnon, ECRI Institute


Session: 4

Artificial Intelligence in Medical Imaging

Thursday, August 6, 2:00 p.m. to 3:00 p.m. ET

Artificial Intelligence is entering the medical imaging field at a fast pace. Terms like AI, deep learning, supervised/unsupervised learning, network training are continuously added to current applications—but what do they mean? More importantly, what are their scope and limitations? This session takes a look at the different AI terms and the different ways that AI is being incorporated into medical imaging.

Expert Presenters and Panelists:
  • Francisco Rodriguez-Campos, ECRI Institute
  • Jason Lauders, ECRI Institute