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...
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...
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...
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....
The University of Massachusetts Amherst and Brigham and Women’s Hospital announced the launch of the new Massachusetts AI and Technology Center for Connecter Care in Aging and Alzheimer’s...
In a retrospective study led by the National Institutes of Health’s National Center for Advancing Translation Sciences (NCATS), researchers provide evidence that individuals with rare diseases...
The National Institute on Minority Health and Health Disparities (NIMHD) awarded the University of California–San Francisco (UCSF) center a five-year, $22.5-million grant to research health...
Those managing chronic illnesses such as cancer have been heavily impacted during the COVID-19 pandemic due to their risk factors. While the vaccine supplies some relief, according to University of...
The National Kidney Foundation (NKF) and the American Society of Nephrology (ASN) Task Force released a report outlining a new race-free approach to diagnosing chronic kidney disease.
In the joint...
In their recent performance report, Data and Analytics Platforms 2021, KLAS Research evaluated vendors with broad analytics offerings and allowed them to identify their deepest platform...
The National Committee of Quality Assurance (NCQA) has launched a new Data Aggregator Validation program that will assist in ensuring the validity of clinical data used for quality reporting. The new...
The World Health Organization (WHO) released the first global report on artificial intelligence in healthcare and six principles to avoid health disparities in the field.
The report, Ethics and...
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...
A commonly used predictive analytics model that forecasts lung cancer risk underperforms in Black populations, suggesting the need for improved screenings and guidelines.
In a study published in JAMA...
Genomic data can provide more targeted insights into chronic disease management than those generated from traditional ethnic or racial labels like Hispanic or Black, a study published in Cell...
The NIH Helping to End Addiction Long-term (HEAL) Initiative is tapping into data management and stewardship expertise to better inform research related to the opioid crisis.
The NIH HEAL Initiative...
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...
In a study of end-stage heart failure patients, researchers at the University of Alabama at Birmingham (UAB) found that race and socioeconomic factors may contribute to differences heart failure...
