Artificial intelligence could help identify factors in EHR data that are predictive of poor COVID-19 outcomes and mortality, according to a study published in npj Digital Medicine.
The vast amount of...
In hopsitals and emergency departments, it’s essential for providers to continually monitor patients in order to stay ahead of potential adverse events. However, patient deterioration can be very...
An artificial intelligence method can help combat emerging COVID-19 mutations by identifying the best potential vaccines to treat the virus, according to a study published in Scientific...
A machine learning algorithm may be able to inform clinicians how food intake influences chronic disease risk.
A team from the Harvard T.H. School of Public Health, together with researchers from...
Using predictive analytics algorithms, a universal screening tool can accurately determine an adolescent’s suicide risk and alert providers of which patients are in need of follow-up...
A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed a predictive analytics model that can jointly model a patient’s breast cancer risk...
This year’s Best in KLAS report contained few surprises, with well-known vendors continuing to dominate in areas like data analytics, business intelligence, and clinical decision support.
Epic...
Google Cloud has announced the Intelligent Vaccine Impact solution, a set of data analytics technologies to help regional and local governments ensure vaccine availability and deliver successful...
The University of Southern California and Amazon have established the Center for Secure and Trusted Machine Learning, a joint research effort to develop new approaches to machine learning privacy and...
The Parkland Center for Clinical Innovation (PCCI) has released an app that uses machine learning and real-time data to measure COVID-19 exposure risk in Dallas County residents.
The MyPCI App will...
A deep learning tool may be able to analyze medical images and dramatically reduce pain disparities in underserved populations, a study published in Nature Medicine revealed.
In society today, pain is...
Machine learning tools identified patterns of maternal autoantibodies indicating the likelihood and severity of autism in children, according to a study published in Molecular Psychiatry.
The team...
A team from UVA Health has developed a predictive analytics tool that can determine COVID-19 patients’ risk of experiencing an adverse event over the next 12 hours.
The tool, called CoMET, uses...
The Office of the National Coordinator for Health Information Technology (ONC) has launched the Synthetic Health Data Challenge, an effort to encourage the development of big data analytics tools using...
After a turbulent, momentous year, many rang in 2021 eager for a fresh start. In healthcare, however, some things will remain the same: namely, the significance of artificial intelligence and social...
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...
Deep learning technology can help researchers make sense of complex DNA methylation data to understand gene expression changes in tumors, study published in Genome Biology revealed.
DNA methylation...
Throughout the COVID-19 pandemic, predictive analytics have helped healthcare organizations plan for surges in patients, allocate necessary resources, and anticipate which populations would be at...
A data analytics tool can evaluate complex gene expression information and distinguish cancer cells from normal cells in tumor samples, according to a study published in Nature...
Properly trained deep learning models could offer better insights from brain imaging data analysis than standard machine learning approaches, according to a study published in Nature...
