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...
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...
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...
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...
Rush University Medical Center researchers conducted a study using machine learning to determine bias within natural language processing (NLP) regarding opioid misuse classifiers.
Over the last 20...
Using predictive analytics is a critical step toward chronic disease prevention, allowing providers to recognize early signs of illness and intervene. While some may be at a higher risk of chronic...
UT Southwestern Medical Center researchers have discovered a method to predict which skin cancers are highly metastatic with the help of artificial intelligence. The study in Cell Systems examined how...
By examining specific regions of the human genome, Baylor College of Medicine researchers developed a machine learning algorithm called SPLS-DA to look for epigenetic markers for schizophrenia.
The...
According to researchers from New York University’s School of Global Public Health and Tandon School of Engineering, machine learning can accurately predict cardiovascular disease and guide...
Artificial intelligence and deep learning models have become important and powerful tools in cancer treatment. By analyzing digital images or tumor biopsy samples, AI can assist physicians in...
A team of researchers at Rensselaer Polytechnic Institute is creating new artificial technology techniques that protect algorithms from vulnerabilities such as contaminated data, malicious attacks, or...
With the COVID-19 pandemic highlighting gaps in healthcare and access to service, providers are searching for ways to improve the well-being of their members. By implementing predictive analytics,...
By using machine learning in healthcare, researchers from Florida Atlantic University's College of Engineering and Computer Science and collaborators are creating prosthetic hands that can...
By using machine learning algorithms, researchers examined if creating a large-scale electronic health record (EHR) data-based lung cancer cohort could be effective in studying a patient’s...
