To battle COVID-19, researchers at Massachusetts General Hospital’s Athinoula A. Martinos Center for Biomedical Imaging are adopting NVIDIA DGX A100 AI systems to accelerate their work.
The researchers are said to be working on new models to segment and align multiple chest scans, calculate lung disease severity from X-ray images, and combine radiology data with other clinical variables to predict outcomes in COVID patients.
These models are built and tested using Mass General Brigham data. Once validated, they could be used together in a hospital setting during and beyond the pandemic to bring radiology insights closer to the clinicians tracking patient progress and making treatment decisions.
“Using deep learning, we developed an algorithm to extract a lung disease severity score from chest X-rays that’s reproducible and scalable — something clinicians can track over time, along with other lab values like vital signs, pulse oximetry data and blood test results,” explained Matthew D. Li, a radiology resident at Mass General and member of the Martinos Center’s QTIM Lab.
This summer, the Martinos Center has plans to install NVIDIA DGX A100 systems, each built with eight NVIDIA A100 Tensor Core GPUs and delivering 5 petaflops of AI performance.