University of Pittsburg School of Medicine and Carnegie Mellon University researchers are using machine learning and whole-genome sequencing to improve the detection of infectious disease...
While artificial intelligence has become essential in advancing medical research, scientists have yet to work out all the technology’s flaws. A University of Texas at Arlington computer scientist...
Using data from the National Institute of Mental Health, UT Southwestern Medical Center researchers created a predictive model to determine how a patient will respond to antidepressants.
According to...
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...
Johns Hopkins University researchers developed a machine-learning algorithm that uses predictive analytics to identify adolescents experiencing suicidal thoughts and behavior.
After decades of...
Massachusetts Institute of Technology researchers examined the issue of shortcuts in a popular machine learning method and proposed a solution forcing the model to use more data in its decision-making...
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...
Tulane University researchers discovered that artificial intelligence can accurately detect and diagnose colorectal cancer by analyzing tissue scans as well or better than pathologists.
The study was...
A recent KLAS Research report used analytics to evaluate which vendors deliver the best risk adjustment.
According to the report, there is a growing interest in adopting risk adjustment solutions....
As electronic health records continue to grow in healthcare, scientists must have a uniform set of recommendations to conduct research and analyze data.
In a collaborative effort, the University of California, Irvine School of Pharmacy...
The Georgia Institute of Technology and Ovarian Cancer Institute researchers are using machine learning algorithms to predict how patients will respond to cancer-fighting drugs.
Advances in machine...
In a retrospective study led by the National Institutes of Health’s National Center for Advancing Translation Sciences (NCATS), researchers provide evidence that individuals with rare diseases...
University of Chicago researchers used flu data and similarities to create a predictive model showing how COVID-19 spreads.
While COVID-19 is more transmissible and deadlier than most influenzas...
While many risk factors patients face concerning their health are due to genetics, researchers suggest that social determinants of health could also play a role in risk prediction.
In a recent study,...
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...
To advance their precision medicine research, Washington University School of Medicine has adopted artificial intelligence-based natural language processing tools to assist in sorting their...
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...
Cleveland Clinic researchers collaborated with Owkin to develop and validate a deep learning model to predict survival and outcomes for hepatocellular carcinoma (HCC) patients after liver...
As providers strive to improve patient outcomes, the use of machine learning has become more integrated into the healthcare system. As this new form of technology continues to expand, it’s...
Artificial intelligence (AI) is making a dent in healthcare in the US and around the globe, helping leaders in Europe, South America, and Asia improve outcomes and cut costs, dissolving key pain points...
