To deliver quality care and positive patient outcomes, researchers and clinicians need comprehensive patient data and medical literature.
However, since 80 percent of essential data lies in...
During the second annual Payer and Provider Virtual Summit, experts emphasize the role of high-quality data to achieve whole-person care.
Whole person care is the concept that the best way to...
The National Institutes of Health awarded Brown University grants totaling $4.6 million to support the use of machine learning to improve outcomes for patients with HIV.
Working...
Using machine learning techniques, researchers from Massachusetts General Hospital and the National Cancer Research Centre, have discovered how to repair genetic damage to prevent DNA...
Scientists at the Icahn School of Medicine at Mount Sinai demonstrated that artificial intelligence algorithms can detect signs of pulmonary embolisms in electrocardiograms (EKGs), improving...
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...
Weill Cornell Medicine researchers are using machine learning to study genetic mutations associated with spina bifida.
According to senior author and director of the Center for...
Moderna recently announced the launch of its Artificial Intelligence Academy. Partnering with Carnegie Mellon University, the AI Academy is intended to educate employees in integrating AI and machine...
A novel artificial intelligence score allows for accurate forecasting of death within ten years for patients with suspected or known coronary artery disease.
Unlike traditional methods based on...
Michigan Technology University researchers developed a machine learning model that uses probability to classify breast cancer more accurately in histopathology images and evaluate the uncertainty of...
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...
To identify patients at high risk of aortic aneurysm, Massachusetts General Hospital (MGH) researchers used deep learning to analyze how genetics could impact aorta size. According to researchers, the...
With the support of a three-year, $755,000 grant from the US Department of Defense’s Congressionally Directed Medical Research Programs, Case Western Reserve University researchers are testing...
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...
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...
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...
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...
As providers continue to target improved patient outcomes, more organizations are utilizing artificial intelligence, data analytics, and machine learning. However, organizations should follow ethical standards to ensure positive results...
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...
While artificial intelligence has become essential in advancing medical research, scientists have yet to work out all the technology’s flaws. A University of Texas at Arlington computer scientist...
