The US Defense Threat Reduction Agency (DTRA), the Defense Innovation Unit (DIU), and Philips have partnered to expand their artificial intelligence-based early warning system to monitor and contain...
Using a predictive analytics model, providers can better project COVID-19 outcomes for improved decision-making and resource allocation, according to a study published in Annals of Internal...
In order to understand the reasons behind COVID-19 disparities, healthcare organizations are increasingly conducting county-level data analyses in communities across the US.
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Parkland Center for Clinical Innovation (PCCI) and Parkland Health and Hospital System have developed a risk index that generates a COVID-19 risk score for each patient using machine learning and big...
The National Institutes of Health (NIH) is offering contracts to seven companies and academic organizations to develop COVID-19-related digital technologies using big data.
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While the rapid spread of COVID-19 has exposed many unflattering healthcare truths, the glaring health disparities highlighted by the pandemic are perhaps the most detrimental to patient health.
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Google.org is donating more than $8.5 million to 31 universities, nonprofits, and other academic institutions that are using artificial intelligence and data analytics to combat COVID-19.
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Throughout the COVID-19 pandemic, artificial intelligence has helped the healthcare industry navigate the novel and unknown.
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Throughout the COVID-19 pandemic, artificial intelligence tools have played a significant role in tracking, controlling, and predicting the spread of the virus.
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A consortium of research scientists has created a common data analytics model and shared framework that will aim to accelerate COVID-19 research by combining information from disparate EHRs...
County-level cell phone location data could enable public health officials to better monitor adherence to stay-at-home guidelines, as well as estimate the future spread of COVID-19, according to a...
Gaps in early COVID-19 data led to significant underreporting of coronavirus cases, ultimately contributing to a large number of infections in the US by early March, a study published in the...
To further discover trends in COVID-19 mortality and the spread of the virus, researchers are increasingly leveraging geographic and population data for new insights on how the disease operates.
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When describing the state of healthcare in the last few months, people have used certain words over and over again.
Unprecedented, crisis, rapid, and novel have become staple terms in the nation’s vocabulary, highlighting both...
To help track and monitor the spread of COVID-19 on college campuses, leaders across the country are implementing big data dashboards to promote transparency and comfort among students, faculty, and...
Black, Hispanic, American Indian, and Alaskan Native patients are more likely to be hospitalized due to COVID-19 than white individuals, showing that there are significant disparities among racial and...
Deep learning tools were able to identify COVID-19 in chest CT scans, indicating that artificial intelligence could enhance diagnosis of the virus, according to a study published in Nature...
In healthcare, providers and lawmakers are faced with the task of making the best possible decisions for patients and the industry as a whole. From choosing the best treatments, to determining the most...
Researchers from Cedars-Sinai have developed a machine learning tool that can forecast data points related to the COVID-19 pandemic and predict staffing needs.
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As the industry continues its quest to provide holistic, comprehensive, and cost-effective care to patients, the term population health management has emerged as a crucial task for organizations to...
