“These agencies have taken a forefront role in applying AI toward their central missions, with NIH using the expanded scope of data processing to increase the sophistication of research into the pathology and treatment of various conditions — including better elucidating how to manage more severe COVID-19 infections.
‘It has broadened the dimensionality of our data analysis capability, enabling a more comprehensive approach in understanding and managing diseases and conditions instead of the traditional siloed organ specific way. And, for example, because COVID-19 affects many organ systems, the Medical Imaging and Data Resource Center could enable clinical decision support tools to diagnose and monitoring both the acute COVID or long COVID cases in a systematic way,’ said Qi Duan, program director at the NIH Division of Health Informatics Technologies…”
“This focus on data and knowledge-sharing partnerships extends across VA as a whole. Much of this centers on tech sprints overseen by VA’s National Artificial Intelligence Institute (NAII), including an upcoming initiative to explore the application of AI in the diagnosis and management of lung cancer.
‘In the next tech sprint, we will pursue an imaging technology for accelerating or improving the accuracy of lung cancer scans that are routinely performed for either screening or diagnosing lung cancer in the veteran population. For a number of reasons, lung cancer is such a heavy burden. It is a high mortality cancer that disproportionately affects our veteran population, for instance, and there are a number of mature technologies behind it. Our intent is that we would like to provision a safe environment computationally within the VA where we can invite outside collaborators to pitch solutions,’ said Rafael Fricks, lead AI tech sprints coordinator at VA…” Read the full article here.
Source: Data Partnerships Essential for AI Development – By Adam Patterson, December 10, 2021. GovernmentCIO.
