Can imaged-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.

Part of a new webinar series hosted by DASH, the Data Science and Artificial Intelligence Summits for Health. In partnership with Novartis Foundation, Harvard Global Health Institute and MIT Critical Data. Support provided by Harvard University Center for African Studies.

Panelists:

Marco Bego
Executive Director, Chief Innovation Officer, University Hospital (HC), São Paulo

Eldad Elnekave
Chief Medical Officer, Zebra Medical Vision

Judy Gichoya
Assistant Professor, Emory University School of Medicine

Moderator:

Skye Gilbert
Executive Director, Digital Square, PATH