Researchers from Worcester Polytechnic Institute (WPI) and Harvard Medical School-affiliated McLean Hospital in Belmont conducted a study assessing the use of artificial intelligence (AI) to predict...
A recent study from Stanford University Human-Centered Artificial Intelligence (Stanford HAI) described the creation of a machine-learning framework, known as POPDx, that aims to enhance the rare...
As reported in the Clinical Journal of the American Society of Nephrology, a randomized trial conducted by Vanderbilt University Medical Center (VUMC), the Dartmouth Geisel School of Medicine, and the...
After receiving a grant from the National Science Foundation, a group of researchers from Dell Children’s Medical Center of Central Texas created a machine-learning (ML) algorithm to track the...
A recent study by Yale University researchers detailed the creation of a machine-learning model that can assist researchers in determining physician turnover, enabling healthcare organizations to...
A study published last week in JAMA Network Open describes how a set of EHR data-based predictive analytics tools can detect early autism using patient data collected before 1 year of age.
According...
Corewell Health care coordinators shared that a recent initiative, which uses predictive analytics to forecast risk and reduce readmissions, has kept 200 patients from being readmitted and resulted in...
A study published in JAMA Network Open found that artificial intelligence (AI)-based systems successfully assisted providers in late-day colonoscopy sessions, indicating their potential to improve...
George Mason University researchers have highlighted how artificial intelligence (AI) can help in the diagnosis of COVID-19 through a series of five papers published in the Journal of Quality...
A recent study published in JAMA Network Open described the development and use of a deep-learning algorithm that could help radiologists differentiate between colon carcinoma (CC) and acute...
A study to be published in the February 2023 issue of Plastic and Reconstructive Surgery found that an artificial intelligence (AI)-based automated pattern recognition model can predict whether surgery...
Johns Hopkins University researchers have developed machine-learning (ML) algorithms that can detect the early warning signs of delirium and predict which patients will be at high risk of delirium at...
Trinity Health and Strive Health announced plans to enhance treatment for chronic kidney disease (CKD) and end-stage kidney disease (ESKD) for Loyola Physician Partners patients using predictive...
A recent announcement from the Texas Medical Center Innovation (TMCi) noted that various startups, researchers, and entrepreneurs will join the spring 2023 Accelerator for HealthTech cohort and the...
A new study published this week in Radiology shows that a deep-learning (DL) model may help improve care for patients who arrive at the hospital with acute chest pain.
According to the news release,...
Published in Radiology, a study from the NYU Gross School of Medicine and Meta AI Research found that artificial intelligence (AI) can be used to reconstruct magnetic resonance imaging (MRI) scans...
A study published last week in JAMA Oncology highlights how researchers at Penn Medicine have developed a machine-learning (ML) intervention designed to predict cancer mortality risk and deliver...
In a recent commentary published in Cell Reports Medicine, University of Michigan researchers argued that the lack of education on healthcare artificial intelligence (AI) in medical school leaves...
Built upon high levels of experience in developing artificial intelligence (AI) solutions, Ardent Health and SwitchPoint have sustained a successful two-year collaboration to create a healthcare...
A study published in JAMA Network Open earlier this month details the development of a prediction model designed to estimate the optimal number of immature eggs, or oocytes, to attempt to fertilize...
