To support continuous artificial intelligence-powered remote monitoring of acute and post-acute care, UCI Health has announced a multi-year agreement with Biofourmis, a Boston-based global lead in...
University of Minnesota Medical School researchers evaluated the real-time performance of a machine learning tool that supported clinical decision-making for emergency department discharges at M...
Novant Health, a health network of over 1,800 physicians with 15 medical centers across three states, and Aidoc, the leading provider of enterprise-grade artificial intelligence solutions for medical...
Duke University researchers have created an artificial intelligence platform to analyze potentially cancerous lesions in mammography scans and determine whether patients should...
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...
The University of Pennsylvania’s School of Nursing, the Perelman School of Medicine, and other departments across the university are working together to create the Penn Artificial Intelligence...
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...
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...
According to a study by Massachusetts General Hospital (MGH) researchers, a predictive model can detect early-stage lung cancer from alterations in blood metabolites.
Lung cancer is the leading cause...
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...
According to researchers, artificial intelligence could assist doctors in allocating resources during the COVID-19 pandemic by identifying patients who require intensive care unit (ICU) treatment.
A...
Massachusetts General Hospital (MGH) researchers found that magnetic resonance imaging (MRI) and artificial intelligence (AI) can be used to detect early signs of tumor cell death in response to a...
According to a multi-institution research team, predictive analytics thrives with input from both artificial intelligence and humans.
“Predictive tasks are ubiquitous — any...
Massachusetts Institute of Technology researchers examined the issue of shortcuts in a popular machine learning method and proposed a solution forcing the model to use more data in its decision-making...
Tulane University researchers discovered that artificial intelligence can accurately detect and diagnose colorectal cancer by analyzing tissue scans as well or better than pathologists.
The study was...
A Mayo Clinic study using data analytics indicates that hospitals can reduce unnecessary blood transfusions and costs by implementing patient blood management programs. According to the findings, blood...
The Georgia Institute of Technology and Ovarian Cancer Institute researchers are using machine learning algorithms to predict how patients will respond to cancer-fighting drugs.
Advances in machine...
According to analyses performed by the Cancer Intervention and Surveillance Modeling Network (CISNET), having Black women begin mammography screenings every other year starting at the age of 40 could...
According to a Boston University School of Medicine study, the lack of breast cancer risk prediction models specifically tailored to Black women has created health disparities.
On average, Black women...
