By pairing microscopy and artificial intelligence, Beckman Institute for Advanced Science and Technology researchers created a COVID-19 test that is fast, accurate, and cost-effective.
As the pandemic...
A predictive model estimated that cervical cancer could be virtually eliminated in the United States by 2030 in communities with low poverty rates, but not until 2044 in communities with high poverty...
Due to genetics, not every patient responds the same to medications. With genetic testing, providers can better determine the best treatment options for individuals, advancing precision...
As providers search for ways to improve their methods of care, social determinants of health (SDOH) have become an increasingly popular area of research.
These social factors, which impact...
A new study of blood samples from nearly 200 COVID-19 patients reveals underlying metabolic changes that regulate how immune cells respond to the infection. These changes are associated with disease...
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...
