Many healthcare systems have made creating high-quality and value-based care a top priority. Southwestern Health Resources (SWHR) used clinical data and predictive analytics to put a total cost of care...
UT Southwestern Medical Center researchers have discovered a method to predict which skin cancers are highly metastatic with the help of artificial intelligence. The study in Cell Systems examined how...
As the COVID-19 pandemic swept across the world in 2020, hospitals and providers had to determine a course of action to continue administering quality care to their patients. At Ann & Robert Lurie...
To understand the relationship between pre-existing conditions and complications of COVID-19 infection, researchers are using natural language processing (NLP) to sift through unstructured EHR...
Using predictive and data analytics, University of Michigan researchers conducted a study that discovered a commercially available genomic test, Decipher Biopsy, could assist in identifying prostate...
Since the start of the pandemic last year, hospital data has shown lower rates of unplanned hospital visits and higher rates of in-hospital mortality. According to Dr. Ari Robicsek, who is the chief...
Scientists from the United States Department of Energy’s (DOE) Argonne National Laboratory are using deep learning and artificial intelligence strategies to upgrade the current Advanced Photon...
According to researchers from New York University’s School of Global Public Health and Tandon School of Engineering, machine learning can accurately predict cardiovascular disease and guide...
Artificial intelligence and deep learning models have become important and powerful tools in cancer treatment. By analyzing digital images or tumor biopsy samples, AI can assist physicians in...
By using socioeconomic and clinical data, researchers developed an artificial intelligence tool to predict 30-day mortality risks in patients with cancer.
Cancer is one of the leading causes of death...
By using machine learning in healthcare, researchers from Florida Atlantic University's College of Engineering and Computer Science and collaborators are creating prosthetic hands that can...
By using machine learning algorithms, researchers examined if creating a large-scale electronic health record (EHR) data-based lung cancer cohort could be effective in studying a patient’s...
A recent JAMA study highlights risk factors associated with the severity of COVID-19 in individuals using machine learning models and predictive analytics. By studying COVID-19 severity and risk...
According to an analysis of Mayo Clinic data by artificial intelligence company nference, anemia-related laboratory tests should be considered in risk stratification algorithms for COVID-19...
Researchers at Michigan State University are developing artificial intelligence technology that will use an algorithm to scan speech and vocabulary patterns in order to catch early signs of...
Scientists at the University of Illinois Chicago have introduced a new system that uses a machine learning algorithm and predictive analytics to find what transcription factors are most likely to be...
Efficiency is one of the large goals of the healthcare industry, especially when it comes to chronic disease management. The introduction of big data analytics has helped pave the way for a faster and...
In a recent evaluation of Epic Systems’ sepsis prediction model, scientists suggest that the model identifies those at risk of sepsis just 63 percent of the time. This is much lower than the...
H. Lee Moffitt Cancer Center & Research Institute researchers developed a deep learning model that uses PET/CT images to measure levels of the Programmed death-ligand 1 (PD-L1) biomarker and...
UCLA Health will receive a $4.8M National Institutes of Health (NIH) grant to improve upon genetic disease risk estimates for diverse populations. The grant will enable researchers to establish...
