A new study published in JAMA Network Open earlier this month showed that personalized artificial intelligence (AI) models for acute kidney injury (AKI) risk prediction, which use common EHR variables,...
A new study published this week in JAMA Network Open shows that a recently developed risk prediction model can identify term neonates at risk of perinatal arterial ischemic stroke (PAIS) using common...
A new study published in the Journal of Medical Internet Research earlier this month showed that clinical risk prediction models for sepsis, delirium, and acute kidney injury (AKI) achieve high...
Researchers found that suicide risk predictions for adult patients significantly improve when using an approach that combines in-person screening with an EHR-based machine-learning (ML) model.
The...
While researching the correlation between COVID-19 and health outcomes, a study published in Scientific Reports used risk models to discover that vital signs, lab results, and age are factors that...
Researchers from the National Institutes of Health Clinical Center developed a new artificial intelligence (AI) model that analyzed various factors relating to pancreas health and fat levels using...
Surgeons from the University of Texas MD Anderson Cancer Center in Houston have developed machine-learning models that can calculate risks for hernia recurrence and other complications.
A study that...
To help improve heart transplants, investigators from Brigham and Women’s Hospital created an artificial intelligence (AI) system known as the Cardiac Rejection Assessment Neural Estimator...
As health insurers and providers increasingly turn to machine-learning algorithms to enhance care, there is a growing concern among experts regarding equity, fairness, and bias in how the technology is...
Increasingly, researchers are looking for ways to implement artificial intelligence into medical imaging.
There are several different cases for why a patient might need medical imaging. Whether it’s for a cardiac event, fracture,...
Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Jameel Clinic for Machine Learning and Health studied the use of machine learning to...
For better chronic disease management, Boston University researchers recommend replacing the term “race” with underlying factors that indicate an increased risk for heart attacks...
Over the past two decades, the United States has seen a significant increase in chronic disease among the population. According to the Centers for Disease Control and Prevention, six in ten adults in the US have a...
According to the National Institute on Aging, data analytics showed that Black participants in Alzheimer’s disease research studies were 35 percent less likely to be diagnosed with...
By studying genetic mutations in patients with schizophrenia, researchers can identify disease-associated genetic variants, paving the way for precision medicine.
The research was conducted...
With artificial intelligence, University of Buffalo researchers have developed a novel system that models chronic disease progression as patients age.
The AI model examines metabolic and...
According to Mayo Clinic researchers, a novel artificial intelligence algorithm can predict long-term patient survival after cardiac surgery.
The research team found an algorithm that previously...
University of Utah engineers are developing a diagnostic tool for breast cancer that can be used more frequently and in younger patients. According to the engineers, the tool could significantly...
Through data analysis, University of Houston researchers created a real-time COVID-19 infection risk assessment and mitigation (RT-CIRAM) system.
With the high transmission rates of COVID-19,...
