Solving Large-scale Medical Imaging AI Problems: Enabling Covid-19 Research at University of Wisconsin School of Medicine

March 30, 2021 | 1 pm to 2 pm EDT

Sponsored by

Webinar Description:

Data management is key to the development of AI and often accounts for 80% of researchers' workload leaving minimal time for analysis. There are many challenges to getting high-quality data into the hands of researchers and AI developers quickly and efficiently. Organizations need access to a high volume of data that is curated to common standards, has access to powerful computing resources and meets privacy and compliance standards. Join us to learn about how the University of Wisconsin is using NVIDIA and Flywheel to enable enterprise-wide data management and research collaboration in their AI initiative to accelerate the diagnosis of Covid-19.

Speakers:

Travis Richardson

President & Chief Product Officer

Flywheel

Travis Richardson is President & Chief Product Officer of Flywheel. He brings over 25 years of executive leadership experience in product development, strategy, and innovation at both large and small companies including Schneider Electric, Oracle, cloud information service provider, DTN, and Minneapolis-based White Pine Consulting Group.

Travis’ career has primarily focused on his passion for data management, data quality, and application interoperability to provide real-world solutions in industries including telecommunications, energy, and supply-chain. He is particularly excited to be leveraging his data management and analytics experience to enable a new generation of innovative solutions for healthcare with enormous potential to accelerate scientific discovery and advance precision care.

Brad Genereaux

Medical Imaging Alliance Manager

NVIDIA

Brad is a healthcare imaging, video and speech alliance manager at NVIDIA. He is responsible for developer relations within healthcare, focusing on visualization, virtualization, artificial intelligence, and analytics. He is at the forefront of imaging interoperability within the healthcare ecosystem, and is deeply involved with the development and implementation of DICOM, HL7, and IHE. Brad evangelizes the ubiquitous adoption and integration of seamless healthcare and medical imaging workflows into everyday clinical practice, specializing in turnkey healthcare interoperability at scale.

Dr. John Garrett

Director of Imaging Informatics, Department of Radiology

University of Wisconsin School of Medicine and Public Health

Dr. John Garrett is an assistant professor and Director of Imaging Informatics with the Department of Radiology in the University of Wisconsin School of Medicine and Public Health. His research interests lie in the areas of x-ray imaging, computed tomography, data science, and imaging informatics. He is particularly interested in the translation of novel imaging techniques, especially deep learning based ones, into clinical practice.

Cost: No cost!