Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Jameel Clinic for Machine Learning and Health studied the use of machine learning to...
For better chronic disease management, Boston University researchers recommend replacing the term “race” with underlying factors that indicate an increased risk for heart attacks...
Over the past two decades, the United States has seen a significant increase in chronic disease among the population. According to the Centers for Disease Control and Prevention, six in ten adults in the US have a...
According to the National Institute on Aging, data analytics showed that Black participants in Alzheimer’s disease research studies were 35 percent less likely to be diagnosed with...
By studying genetic mutations in patients with schizophrenia, researchers can identify disease-associated genetic variants, paving the way for precision medicine.
The research was conducted...
With artificial intelligence, University of Buffalo researchers have developed a novel system that models chronic disease progression as patients age.
The AI model examines metabolic and...
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...
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...
As artificial intelligence (AI) continues to grow in the healthcare field, researchers are findings new ways to utilize its capabilities. In chronic disease management and prevention, especially in cancer research, AI has been critical in...
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...
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...
According to research from West Virginia University, COVID-19 patients living in rural areas who end up in an intensive care unit face a greater risk of dying, impacting population health.
While the...
Through collecting data for the Mass General Brigham Biobank, researchers found that three-quarters of biobank participants carrying genetic risks for cancer and heart disease had never been...
Johns Hopkins University researchers developed a machine-learning algorithm that uses predictive analytics to identify adolescents experiencing suicidal thoughts and behavior.
After decades of...
A recent KLAS Research report used analytics to evaluate which vendors deliver the best risk adjustment.
According to the report, there is a growing interest in adopting risk adjustment solutions....
