Deep learning can distinguish between the mammograms of women who will later develop breast cancer and those who will not, according to new research out of the University of Hawaii. Researchers said...
Mayo Clinic researchers alongside the Google Research Brain Team developed a new artificial intelligence algorithm to improve brain stimulation devices to treat movement disorders and epilepsy.
For...
Case Western Reserve University researchers have developed an artificial intelligence tool that can predict if a COVID-19 patient will need help breathing with a ventilator.
The tool was created by...
A new study indicated that a precision medicine test using blood proteins can identify patients with idiopathic multicentric Castleman disease (iMCD) and are most likely to respond to treatment.
The...
Using predictive and data analytics, Brigham and Women’s Hospital researchers developed a resource to better understand the cognitive decline in individuals due to Alzheimer’s disease...
Children’s National Hospital researchers developed a machine learning tool that offers rapid genetic screening, potentially accelerating the diagnosis of genetic syndromes in children.
The deep...
Understanding an individual’s risk of disease is critical to providing the best quality of care. With health risk assessments (HRAs), also known as health risk appraisals, providers can collect...
New artificial intelligence technology for heart imaging could allow doctors to examine a patient’s heart for scar tissue while eliminating the need for contrast injections typically required in...
To effectively use artificial intelligence in chronic disease management, providers must have high-quality and accurate data. According to University of Pennsylvania Medical Center (UPMC) Chief Health...
In a cohort study, researchers compared how an interpretable machine learning triage tool for predicting mortality operates in a cohort of patients admitted to the hospital from the emergency...
To improve population health management, providers should use big data to understand how to best meet the needs of the community.
In a panel convened by HealthITAnalytics, informatics leaders from...
University of Los Angeles (UCLA) engineers developed a method to improve diagnostic tools that examine biopsied tissue samples using artificial intelligence. The AI system uses virtual re-staining of...
New York University (NYU) is using a new kind of genomic testing to improve cancer treatment and patient outcomes.
Cancer has proven to be difficult to manage for patients and healthcare providers....
Data analytics serves as an essential tool when trying to close gaps in care. By studying data, providers can determine what steps need to be taken to improve patient outcomes.
Assistant Vice...
According to a new study, Black and Hispanic children and teens are seeing increasing rates of type 1 and type 2 diabetes, highlighting the role social determinants of health (SDOH) play in...
Although most hospitals across the country suffered due to the impact of COVID-19, in Numerof’s sixth annual State of Population Health Survey report, research indicates that few hospitals took...
Genome sequencing can reveal an individual’s risk for specific health conditions throughout their life. While some advocate for testing on all newborns to address disease risks early in life,...
Using a decision analytic model, a new study finds that risk-based vaccine prioritization strategies could be the most effective method to reduce the spread of COVID-19 and ensure vaccine distribution...
In a recent research letter, research authors examined how data analytics and electronic health records (EHRs) can assist in targeting marginalized populations to improve COVID-19 vaccine outreach...
Johns Hopkins Kimmel Cancer Center researchers developed novel artificial intelligence blood testing technology to detect lung cancer in patients.
The test approach, called DELFI (DNA evaluation of...
