Children’s National Hospital unveils top artificial intelligence models in COVID-19 Grand Challenge to improve lung diagnostics
Main pediatric clinic collaborates with NVIDIA and the NIH to discover a lot more helpful diagnostic options for COVID-19
January 12, 2021
The top 10 benefits have been unveiled in the initially-of-its-sort COVID-19 Lung CT Lesion Segmentation Grand Obstacle, a groundbreaking investigation competition centered on building synthetic intelligence (AI) designs to help in the visualization and measurement of COVID unique lesions in the lungs of infected patients, probably facilitating to a lot more well timed and individual-unique health care interventions.
Attracting a lot more than one,000 international participants, the competition was presented by the Sheikh Zayed Institute for Pediatric Surgical Innovation at Children’s National Medical center in collaboration with main AI technology corporation NVIDIA and the National Institutes of Wellbeing (NIH). The competition’s AI designs used a multi-institutional, multi-nationwide information set provided by community datasets from The Cancer Imaging Archive (National Cancer Institute), NIH and the University of Arkansas, that