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. Learn when—and where—you want this summer at an incredible value! Each webinar is worth one (1) for up to four (4) CEU's for your ACI certification, to which you will receive upon completion of the final webinar in this series.
–Registration includes all sessions in the track!–
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.
- Wesley Gilson, Siemens Healthineers
- Peter Shen, Siemens Healthineers
Improving Clinical Outcomes through Artificial IntelligenceThursday, 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.
- Timothy Ruchti, Nihon Kohden
Challenges and Current State of AI in HealthcareMonday, 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?
- Pat Baird, Philips
- Rohit Nayak, Electronic Registry Systems, Inc.
- Erin Sparnon, ECRI Institute
Artificial Intelligence in Medical ImagingThursday, 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.
- Francisco Rodriguez-Campos, ECRI Institute
- Jason Lauders, ECRI Institute