Session Chair Profile
Digital Pathology and AI, Epredia
Biography
Has been a member of the medical equipment industry for 12 years, serving in a variety of roles. Focus on digital pathology and AI, as a member of the DPA and ESDIP boards. Strong focus on making digital pathology and AI digestible for facilities to understand how it will impact their work.
Session Abstract – PMWC 2022 Silicon Valley
Track Chairs:
Sharmila Majumdar, UCSF
The use of Artificial Intelligence (AI) in diagnostic medical imaging is undergoing extensive evaluation. AI has shown impressive accuracy and sensitivity in the identification of imaging abnormalities and promises to enhance tissue-based detection and characterization. This track will explore technical advancements in clinical machine learning and use cases in radiology.
Sessions:
- AI Roadmap: Opportunities and Challenges (PANEL)
Session Chair: Sean Khozin, CancerLinQ
- Matthew Lungren, AWS
- Patrick Loerch, Gilead
- Greg Yap, Menlo Ventures
- Lydia The, McKinsey & Company
- Chris Gibson, Recursion
- Andrea Mazzocchi, Known Medicine - Actionable AI: Empowering the Stewards of Precision Medicine
- Martin Stumpe, Tempus - Technical Advancements in Clinical Machine Learning - What's New in 2022 (PANEL)
Session Chair: Sharmila Majumdar, UCSF
- Matthew Lungren, AWS - Jayashree Kalpathy-Cramer, Harvard
- John Mongan, UCSF - Image Applications for Clinical Diagnosis
Session Chair: Esther L. Yuh, UCSF
- Thorsten Fleiter, U. of Maryland
- Imon Banerjee, Mayo Clinic
- Pratik Mukherjee, UCSF
- Lawrence Schwartz, Columbia University Medical Center
- Rakesh Shiradkar, Case Western Reserve University - The Impact of AI and High-Resolution Digital Slide Imaging
Session Chair: Ryan Davis, Epredia
- Andy Moye, Paige
- Thomas Westerling-Bui, Aiforia
Session Chair: Fatemeh Zabihollahy, UCLA
- Mirabela Rusu, Stanford
- Mona Flores, NVIDIA
- Kilian Koepsell, Caption Health
- Eric Horler, AIQ Solutions
