After creating an artificial intelligence tool using retrospective data, Dartmouth-Hitchcock Medical Center and Cheshire Medical Center are implementing the technology in a clinical trial.
The tool...
Massachusetts General Hospital, the Broad Institute of MIT, and Harvard researchers created an artificial intelligence-based approach to identifying patients at risk of developing atrial fibrillation,...
A new prediction model created by Mount Sinai researchers can score risks and determine potential contrast-associated acute kidney injury (CA-AKI) among patients undergoing percutaneous coronary...
At the American College of Rheumatology (ACR) annual meeting on November 6, Hospital for Special Surgery researchers presented the results from the RA2-Dream Challenge, a crowdsourced effort to develop...
Cleveland Clinic researchers developed a new machine learning model that uses predictive analytics to determine whether immune checkpoint blockade (ICB), a growing class of immunotherapy drugs, will be...
Using data analytics, Pennington Biomedical Research Center, Louisiana State University (LSU), and Tulane Health Science Center researchers will investigate prevention and treatment methods for...
Using predictive analytics, the University of Colorado School of Medicine and UCHealth University of Colorado Hospital scientists have found specific genetic biomarkers that show who is infected with...
University of Colorado Cancer Center researchers are gathering data insights to create a decision-making tool for women who receive a breast cancer diagnosis.
In 2019, assistant professor...
Georgia Institute of Technology and Emory University researchers created a new artificial intelligence-based tool to assist clinicians in predicting which symptoms COVID-19 patients will experience...
Mayo Clinic researchers analyzing patient records found that individuals with acute kidney injury receiving continuous renal replacement therapy (CRRT) once are likely to require the therapy again,...
Mount Sinai researchers created an artificial intelligence-based computer algorithm that can detect subtle changes in electrocardiograms to predict whether a patient is experiencing heart...
By combining detailed mapping of the biochemical composition of tumors with machine learning, Johns Hopkins University engineers created the first non-invasive optical probe to understand the complex...
According to a collaborative research study from the University of Utah Health, Fabric Genomics, and Rady Children’s Hospital, artificial intelligence-based technology can rapidly diagnose rare...
As artificial intelligence capabilities in healthcare continue to advance, regulations and policies need to be put in place to ensure health equality when exploring this new method.
This past June,...
Using predictive analytics, University of Chicago researchers have developed a method to determine an eventual diagnosis of autism spectrum disorder (ASD) in young children. The new computational...
Dayton Children’s Health Partners (DCHP) partnered with Innovaccer to get assistance creating a data aggregation platform to streamline efficiency and improve patient outcomes.
DCHP is a...
By examining the relationship between cytokines in saliva and COVID-19 infection, an ongoing study is researching how to use predictive analytics to determine the severity of infection.
In a...
Regenstrief Institute researchers created a new prediction model that determines an individual’s risk for colon cancer and precancerous polyps.
The work was led by Thomas F. Imperiale, MD,...
As the COVID-19 pandemic continues to spread worldwide, hospitals are searching for ways to keep their patients safe from potential hospital-acquired infections. Different methods have included hygiene...
UT Southwestern Medical Center and the University of Texas MD Anderson Cancer Center researchers developed an artificial intelligence method to determine anti-cancer immunity.
According to...
