On-Demand
Unprecedented and unpredictable, the COVID-19 crisis has had devastating effects on the well-being of the global population. The good news? Progress in AI and lung imaging has catalyzed healthcare innovation, with algorithms to detect COVID-19 developed at breakneck speed. However, this fast tracking can potentially allow unvetted tools to put patients in harm’s way and damage AI’s reputation. This webinar explores AI tools in pulmonary imaging and how they were adapted to COVID-19. We also make a case for why we must work together to collect and validate data across many institutions. Make plans now to watch this 60-minute webinar!
What You’ll Learn
| AI methodology in radiology |
| AI applications in lung imaging |
| An overview of radiology’s role in the COVID-19 crisis |
| A healthy skepticism of AI’s capabilities during the pandemic |
| Validation recommendations |
Our Panelists
Mitchell Goldburgh
Sr. Director – Enterprise Imaging & Analytics
NTT DATA Healthcare and Life Sciences
Mitchell has 40 years of healthcare experience that includes clinical imaging, systems administration and application development. A former engineer, he’s now a solution owner guiding organizations and product vendors platforms that delivered interoperability, digital transformation and AI adoption. And as a thought leader, he’s an accomplished speaker and author.
Haley Wight
Data Scientist
NTT DATA Healthcare and Life Sciences
Haley leverages big data and machine learning solutions for pharmaceutical and medical device companies. Her expertise has led her to bioinformatics research at the National Cancer Institute and U.S. Department of Agriculture where she implemented novel network clustering approaches and web-based visualization tools to allow user interaction with large, biological data.