To ensure the safe and effective use of artificial intelligence in healthcare, researchers and developers will need to work to eliminate bias in these tools, according to a perspective paper by...
A predictive analytics model can forecast where disease will spread from an outbreak, in what patterns, and how quickly, according to a study published in Proceedings of the National Academy of...
In order for artificial intelligence to act as a public health tool after COVID-19, policymakers will need to increase training and validation of these solutions, as well as enhance data governance and...
The White House has launched AI.gov, a website that will be home to the National AI Initiative and ensure continued US leadership on artificial intelligence research and development.
The National AI...
To ensure medical AI devices are effective, reliable, and safe, FDA evaluations should include prospective studies and assessments in multiple clinical sites, according to a review published in...
The FDA has issued an emergency use authorization (EUA) for the first machine learning-based non-diagnostic screening tool to prevent the spread of COVID-19.
The Tiger Tech COVID Plus Monitor...
Smartphone-based mobility data used to respond to COVID-19 can leave out older and minority voters, which could lead jurisdictions to under-allocate important health resources to underserved...
The FDA has launched the FDA Adverse Event Reporting System (FAERS), a public data dashboard showing human adverse event reports for drugs and therapeutic products used under emergency use...
A data analytics model could help researchers evaluate the false-negative rate of COVID-19 tests by comparing the sensitivity of different viral DNA test kits, according to a study published in...
A team from Johns Hopkins has created a data dashboard that shows how states are prioritizing people with disabilities in the COVID-19 vaccine rollout.
The tool can also help people with disabilities...
Using data analytics, a team of researchers simulated a representation of the COVID-19 pandemic in the town of New Rochelle, New York – and found that it may not be effective to prioritize...
The FDA has released its first artificial intelligence and machine learning action plan, a multi-step approach designed to advance the agency’s management of advanced medical software.
The...
A new early warning system can fill in gaps in infectious disease surveillance and forecast the spread of influenza using predictive analytics, according to a study published in Nature...
Filling gaps in race and ethnicity data will help support and promote health equity, according to a commentary written by Anne-Marie J. Audet, MD, senior medical officer at United Hospital Fund...
Machine learning can help inform public policies around quarantine measures to reduce the spread of COVID-19, according to a study conducted by MIT researchers.
As COVID-19 cases continue to increase...
As the opioid epidemic rages on in communities across the US, the healthcare industry has sought the help of big data to inform public policy and population health initiatives.
While large volumes of...
Data access and industry standards may help leaders eliminate potential bias in healthcare artificial intelligence tools, as well as improve implementation of the technology, according to a report from...
Researchers from UCLA Fielding School of Public Health have identified high-risk population groups in California during the COVID-19 pandemic using demographic data analytics.
For more coronavirus...
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.
For...
