According to Mayo Clinic researchers, a novel artificial intelligence algorithm can predict long-term patient survival after cardiac surgery.
The research team found an algorithm that previously...
Using an advanced machine learning technique, Brown University researchers are exploring how to improve COVID-19 predictive models.
“There’s an old saying in the modeling field that...
Massachusetts General Hospital (MGH) researchers found that magnetic resonance imaging (MRI) and artificial intelligence (AI) can be used to detect early signs of tumor cell death in response to a...
According to a study by Rutgers University researchers, social determinants of health play a significant role in who is impacted by COVID-19, creating health disparities.
The study published in...
University of Utah engineers are developing a diagnostic tool for breast cancer that can be used more frequently and in younger patients. According to the engineers, the tool could significantly...
Through data analysis, University of Houston researchers created a real-time COVID-19 infection risk assessment and mitigation (RT-CIRAM) system.
With the high transmission rates of COVID-19,...
To improve population health efforts, the Icahn Scholl of Medicine at Mount Sinai will serve as the lead site of enrollment for two cohort studies examining the long-term effects of COVID-19. The...
In 2020, many patients delayed care due to the COVID-19 pandemic. Despite the vaccine rollout and cases declining from last year, data analytics indicates that significant decreases in CT imaging for...
With artificial intelligence, researchers have developed a method for providing insight into how diseases or injuries change the body, down to individual cells.
The imaging tool known as TDAExplore...
Using predictive analytics, researchers developed a machine learning tool to determine how lupus nephritis patients will respond to specific treatment options.
Inflammatory kidney disease occurs in...
According to a data analytics study examining health disparities in cancer clinical trials, certain populations remain underrepresented despite attempts to increase participation.
By including...
After creating an artificial intelligence tool using retrospective data, Dartmouth-Hitchcock Medical Center and Cheshire Medical Center are implementing the technology in a clinical trial.
The tool...
According to a multi-institution research team, predictive analytics thrives with input from both artificial intelligence and humans.
“Predictive tasks are ubiquitous — any...
According to a recent Digital Health Most Wired Survey, healthcare areas that have seen the biggest overall improvement are patient engagement, interoperability, and population health...
According to Michigan Medicine researchers, physicians may be missing early warning signs of kidney disease when examining cerebral palsy patients, failing to promote chronic disease...
Mount Sinai researchers have found genetic differences between 14 tumor types in young adults compared to the same cancers in older adults. To address the population health disparities, researchers...
Boston University School of Medicine researchers have discovered a metabolic enzyme and pathway in some triple-negative breast cancer (TNBC) patients. According to researchers, the hope is that their...
University of Pittsburg School of Medicine and Carnegie Mellon University researchers are using machine learning and whole-genome sequencing to improve the detection of infectious disease...
Massachusetts General Hospital, the Broad Institute of MIT, and Harvard researchers created an artificial intelligence-based approach to identifying patients at risk of developing atrial fibrillation,...
A new prediction model created by Mount Sinai researchers can score risks and determine potential contrast-associated acute kidney injury (CA-AKI) among patients undergoing percutaneous coronary...
