Researchers from Carnegie Mellon University (CMU) have developed a machine learning (ML) tool designed to predict COVID-19 transmission using location and time data, according to a study published this...
North Carolina-based Atrium Health Wake Forest Baptist has implemented artificial intelligence (AI) and robotics tools to help clinicians predict and diagnose lung cancer to improve early...
Researchers from Stony Brook University have developed an artificial intelligence (AI) model that uses social media posts to forecast opioid death rates more accurately than methods relying on...
Recent research published in JAMA Network Open found that an artificial intelligence (AI) system known as MySurgeryRisk used EHR data and input features to predict postoperative complications...
A study published earlier this month in JAMA Network Open demonstrates that a newly-developed multimodal model using brain function information and other risk factors can improve the prediction of...
Researchers from the Medical University of South Carolina (MUSC) have developed a deep-learning (DL) approach that can identify patients with cirrhosis using clinical text in EHRs, according to a study...
A recent study published in JAMA Network Open found that patients with unruptured arteriovenous malformations (AVMs) benefited from a predictive scoring system developed based on several risk factors,...
Researchers have found that natural language processing (NLP) tools can predict the survival of patients with cancer using their initial oncologist consultation document without additional data,...
Pennsylvania-based Highmark Health will deploy an artificial intelligence (AI)-based early warning system from insights solutions company Kinsa to help predict healthcare utilization, staffing needs,...
A study published last week in Alzheimer's & Dementia details how researchers from the University of Florida (UF) Health and UF College of Medicine developed artificial intelligence (AI) tools...
A research team from Johns Hopkins Medicine and Johns Hopkins University has developed a machine-learning (ML) tool capable of predicting who has the highest probability of being naturally resistant to...
A study published in the Journal of the National Comprehensive Cancer Network (JNCCN) described how a cancer symptom algorithm provided insight into which patients may be at high risk for unplanned...
In a study published this week in Science Translational Medicine, researchers from the Stanford School of Medicine revealed that a machine-learning (ML) algorithm could predict prematurity...
Researchers at Massachusetts General Hospital (MGH) and the University of California, San Francisco have identified eight social characteristics that can help to predict an older adult’s risk of...
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 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 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...
