Researchers have developed and externally validated a prediction model to detect early-stage pancreatic cancer using routinely collected blood biomarkers, according to a recent study published in JAMA...
Researchers from Yale School of Public Health (YSPH) have developed an artificial intelligence (AI)-driven patient triage platform capable of forecasting length of hospitalization and disease severity...
A machine learning (ML) model can automatically predict esophageal adenocarcinoma (EAC) and gastric cardia adenocarcinoma (GCA) three years before a formal diagnosis, according to a study published...
In a study recently published in JAMA Network Open, researchers have externally validated a machine learning (ML) model designed to predict six-month mortality risk for patients with advanced cancer...
In a perspective article recently published in the New England Journal of Medicine, researchers from the University of Maryland School of Medicine (UMSOM) and Beth Israel Deaconess Medical Center...
Big data analytics has become a hot topic as healthcare systems have transitioned to EHRs and begun pursuing digital transformation.
Patients generate massive amounts of data throughout their care journeys that could be used to improve...
Effective population health management requires collecting, processing, and analyzing large amounts of patient data, making data analytics tools key for any population health initiative.
Population health is often conceptualized based on...
A new study found that although the use of the Deterioration Index (DTI) within the hospital setting provided modest results, it inconsistently s handled various demographic groups. Researchers...
A new study effectively detects those at the highest risk of domestic violence re-offenses. This data would be valuable in allocating treatment toward malleable risk factors among high-risk...
According to a new study, an artificial intelligence (AI) can assess non-contrast low-dose CT chest scans for cancer screenings and predict outcomes such as lung cancer, cardiovascular disease (CVD),...
Researchers at the Icahn School of Medicine at Mount Sinai have developed an artificial intelligence (AI) model to predict which medicines and preclinical compounds may cause birth defects.
The model,...
A study published last month in Therapeutic Advances in Gastroenterology demonstrated that a deep learning (DL) model can predict the need for biological therapy using capsule endoscopy (CE) videos of...
In a recent study published in BMC Medical Research Methodology, researchers developed multiple algorithms capable of identifying important osteoarthritis (OA) patient subgroups, such as those...
Researchers have developed a machine learning (ML) model that can accurately predict risk of posttraumatic stress disorder (PTSD) prior to United States military deployment, according to a study...
Researchers from University Hospitals (UH) Seidman Cancer Center have validated the first-ever predictive artificial intelligence (AI) biomarker of androgen deprivation therapy (ADT) benefit in...
To enhance the process of identifying medical issues in patients after operations, two researchers from the University of Pittsburgh and UPMC created a machine-learning (ML) model trained on data from...
Researchers at the University of Texas MD Anderson Cancer Center have developed a predictive tool that combines a curated blood test and a personalized risk model to flag those at high risk of...
The United States Department of Veterans Affairs (VA) has launched a new study in which researchers from five VA medical centers will work to develop an artificial intelligence tool that can predict...
Researchers from the University of Chicago and Rush University Medical Center have developed a predictive model designed to identify women vulnerable to human immunodeficiency virus (HIV) using EMRs...
During the 83rd Scientific Sessions held by the American Diabetes Association (ADA) in San Diego, California, over the weekend, researchers presented studies detailing advancements in diabetes care...
