Published Research

Dave DeCaprio, ClosedLoop's CTO and founder, was invited to write a chapter for Leveraging Artificial Intelligence in Global Epidemics, a book detailing the role of AI in various stages of disease outbreak – using COVID-19 as a case study. Dave's chapter, entitled "Preparing with predictions: forecasting epidemics with artificial intelligence," covers factors to consider when assessing data for AI use, explores real-world case studies, and evaluates the application of predictions in the areas of disease spread, population health management, and resource allocation.

While health care organizations are increasingly interested in using artificial intelligence (AI), there is a significant lack of literature on the real-world application of risk stratification AI tools in primary care. Oak Street Health, a network of more than 80 primary care centers in medically...

COVID-19 is an acute respiratory disease that has been classified as a pandemic by the World Health Organization. Information regarding this particular disease is limited, however, it is known to have high mortality rates, particularly among individuals with preexisting medical conditions.

Deep learning describes a class of machine learning algorithms that are capable of combining raw inputs into layers of intermediate features. These algorithms have recently shown impressive results across a variety of domains.