Can image-based AI meaningfully impact COVID-19 response in low resource settings?
Practical uses for image-based radiological AI tools are being explored as part of the COVID-19 response globally. These solutions are being proposed to complement and fill gaps in the current response, through applications such as increasing testing capacity by distinguishing COVID-19 from community acquired pneumonia; and improving the detection rate and treatment consistency of COVID-19 cases. While these tools have immense potential to address critical needs, there remain concerns about their practicality, accuracy and utility, especially in low-resource settings.
By bringing together experts in the field of radiology and beyond, this webinar will explore the opportunities and challenges for the use of imaged-based AI tools in the COVID-19 response. Panelists will discuss the broader context for the application of these tools; explore how they are being developed and evaluated; and identify what steps need to be taken to maximize the potential of image-based AI while mitigating the risks.
This webinar is part of series hosted by DASH, the Data Science and Artificial Intelligence Summits for Health, an initiative by the Harvard Global Health Institute and Novartis Foundation. Today’s webinar is also in collaboration with Grupo Tellus, the first organization of Public Services Design and Innovation in Brazil.
Speakers, Panelists and Moderators
JUDY WAWIRA GICHOYAAssistant ProfessorWinship Cancer Instiute (Emory University)Judy Wawira Gichoya, MD, MS, is Assistant Professor in the Department of Radiology and Imaging Sciences at Emory University School of Medicine. An interventional radiologist, Dr. Gichoya specializes in interventional radiology procedures. Dr. Gichoya is a member of the Cancer Prevention and Control Research Program at Winship Cancer Institute. She holds professional memberships with Radiological Society of North America, American College of Radiology, Society of Interventional Radiology, Society of Imaging Informatics in Medicine and American Medical Informatics Association.
MARCO BEGOCIOUniversity Hospital (HC)Marco Bego currently serves as the Executive Director of the Chief Innovation Office at the University Hospital São Paulo (Hospital de Clínicas). In this position, he is leading the cross-functional efforts to integrate innovation in all activities of the hospital and associated departments through public-private partnerships, private sector collaboration and entrepreneurship. Marco is an effective member of the Technical Chamber of Informatics in the Brazilian Federal Council of Medicine (CFM) and assumed the presidency of the Brazilian Association of Chief Innovation Officers in Health in May 2017. Marco has a degree in Electrical Engineering and has 27 years of experience in Health IT.
SKYE GILBERTExecutive Director, Digital SquarePATHSkye Gilbert joined PATH in 2016 as deputy director of PATH's Digital Health program. Skye leads Digital Health’s strategy, business development, adaptive management and data use efforts. Digital Health’s portfolio in this space includes the Data Use Partnership in Tanzania, which is supporting end-to-end digital transformation of Tanzania’s health system, digital support to BID Initiative—which is analysing Tanzania’s >200K patient dataset to improve medical supply chains and clinical outreach, and Digital Square, which aims to strengthen the digital ecosystem by providing high-quality, sustainable digital global goods to countries that need them. Prior to joining PATH, Skye worked on health and information systems, first as an academic researcher living in Senegal and China, then as a consultant at the Boston Consulting Group, and finally as a program and strategy officer at the Bill & Melinda Gates Foundation. Skye has a Global Executive MBA from INSEAD and bachelor’s degrees in economics, international studies, and psychology from the University of Pennsylvania.
ELDAD ELNEKAVEChief Medical OfficerZebra Medical VisionEldad Elnekave, MD is a US and Israeli Board Certified Radiologist and has served as the Chief Medical Officer of Zebra Medical Vision since its founding. He completed his Interventional Radiology training at Memorial-Sloan Kettering Cancer Center and practices clinically as the Director of the Interventional Oncology clinic at Davidoff Oncology Center. Dr. Elnekave envisions a foreseeable future in which machine learning algorithms will contribute substantial, even critical, insight in every radiologic examination, from X-ray to CT and MRI.