Artificial intelligence and deep learning have seen tremendous advances in the last few years. They have revolutionized the field of computer vision making practical technologies out of what seemed like science fiction just a few years ago. The technology promises to revolutionize medical imaging and, as such, the healthcare industry improving patient outcomes through applications in both diagnostics and therapeutics. Come hear a panel of experts in the field as they advance the use of AI and deep learning in the healthcare industry.

CHAIR

Kyle J. Myers Independent Consultant FDA (retired) (United States)

Kyle Myers recently retired as Director and Senior Advisor in the Division of Imaging, Diagnostics, and Software Reliability at the US Food and Drug Administration's Center for Devices and Radiological Health. Her division specialized in evaluating the safety and effectiveness of new healthcare devices being brought to market in the US. Dr. Myers earned her PhD in Optical Sciences from the Univ. of Arizona College of Optical Science. She is an independent consultant and resides in Phoenix, Arizona.

PANELISTS

Maryellen Giger PI at MIDRC, Advisor at Qlarity University of Chicago Department of Radiology (United States)

Maryellen Giger is the A.N. Pritzker Distinguished Service Professor of Radiology, Committee on Medical Physics, and the College at the University of Chicago. She is also the Vice-Chair of Radiology (Basic Science Research) and the immediate past Director of the CAMPEP-accredited Graduate Programs in Medical Physics/ Chair of the Committee on Medical Physics at the University. For over 30 years, she has conducted research on computer-aided diagnosis, including computer vision, machine learning, and deep learning, in the areas of breast cancer, lung cancer, prostate cancer, lupus, and bone diseases, and now COVID-19. She is a former president of the American Association of Physicists in Medicine and a former president of SPIE and is the inaugural Editor-in-Chief of the SPIE Journal of Medical Imaging.

Yair Rivenson Co-founder and CEO Pictor Labs (United States)

Yair Rivenson has lead Pictor’s R&D efforts, engineering and business operations, and recruitment strategy since its inception in October 2020. He has transformed the core virtual staining intellectual property to a working prototype and then to a commercialized product. Under his leadership, Pictor Labs has attracted numerous clients in multiple market segments. Prior to taking an active role in Pictor Labs, Dr. Rivenson served as an adjunct and research professor at the University of California, Los Angeles, Department of Electrical and Computer Engineering. He pioneered the usage of deep learning in computational microscopy applications and developed the core technologies that would become Pictor’s foundation.

Zoltán Göröcs CTO Lucendi, Inc. (United States)

Zoltán Göröcs is the Chief Technology Officer at Lucendi Inc., a startup commercializing AI-based computational microscopy technology originally developed at UCLA’s Bio- and Nano-Photonics laboratory (BNPL). Prior to joining Lucendi, Dr. Göröcs was a project scientist at BNPL where he has led several R&D programs in computational microscopy, deep learning and applications. His research yielded to the IP which is the basis of some of Lucendi’s existing product line.

Charles Taylor Founder and CSO Heartflow, Inc. (United States)

Charles Taylor is a Founder, CSO, and Member of the Board of Directors of HeartFlow Inc. Previously, he was an Associate Professor in the Departments of Bioengineering and Surgery at Standford University with courtesy faculty appointments in the Departments of Mechanincal Engineering and Radiology. He is also currently a Consulting Professor of Bioengineering at Standford University of Eindhoven. He is internationally recognized for his work in combining computer simulation methods with medical imaging data for patient-specific modeling of blood flow to aid in the diagnosis and treatment of cardiovascular disease. Charles has published over 350 peer-reviewed journal and conference papers and has over 220 issued or pending patents worldwide.