Coming together in a virtual format, a panel at ISBI 2020 shares important knowledge relevant to medical imaging, COVID-19 and AI applications.
Organized and Led By: Hayit Greenspan, PhD., Tel Aviv University and ISBI 2020 Technical Program Chair.
Eliot Siegel, of the University of Maryland School of Medicine presents on COVID-19: Clinical perspectives on AI promise and challenges.
Hayit Greenspan offers AI for COVID-19, developing the corona score for patient monitoring.
Bram van Ginnekin shares information regarding efforts to address COVID-19 with AI analysis of CT & CXR.
Mads Nielsen shares experiences and best practices developing CXR-based COVID-19 classification of a Danish ICU risk assessment study.
Raul San Jose Estepar explains the Slowdown COVID-19 project.
Wiro Niessen explains a project of building a Dutch COVID database of imaging and clinical data for the development and objective validation of AI algorithims.
Gathered virtually at the ISBI 2020 conference, the members of this COVID-19 Deep Learning and Biomedical Imaging Panel participate in a lively discussion.