The School of Engineering and Applied Science’s PRECISE Center and the School of Nursing at the University of Pennsylvania are partnering with Hillrom to develop artificial intelligence and...
The Department of Defense’s (DoD) Defense Innovation Unit (DIU) is leveraging artificial intelligence tools and the department’s vast amount of medical data to identify cancers and other...
A team from the Icahn School of Medicine at Mount Sinai, Emory University, and other collaborating institutions used predictive analytics models to discover a protein known as VGF, which protects the...
Deep learning tools were able to identify COVID-19 in chest CT scans, indicating that artificial intelligence could enhance diagnosis of the virus, according to a study published in Nature...
A predictive analytics tool can accurately forecast patients’ risk of ischemic stroke based on the severity of their metabolic syndrome, a collection of conditions that includes high blood...
In healthcare, providers and lawmakers are faced with the task of making the best possible decisions for patients and the industry as a whole. From choosing the best treatments, to determining the most...
Researchers from Cedars-Sinai have developed a machine learning tool that can forecast data points related to the COVID-19 pandemic and predict staffing needs.
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By combining EHR data and genomic information, researchers were able to identify gene-specific signatures in childhood epilepsies, according to a study published in Genetics in Medicine.
The...
Cleveland Clinic researchers have built a predictive analytics model to better understand which patients with COVID-19 are at high risk of hospitalization from the virus.
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Researchers have created an early warning system that uses machine learning to predict necrotizing enterocolitis (NEC), a life-threatening intestinal disease that affects premature infants.
NEC...
With nearly every healthcare organization working to better manage and stop the spread of COVID-19, many have turned to medical imaging and imaging analytics tools to improve detection and prevention...
NIH is funding a project that will use artificial intelligence to identify children at risk of Multisystem Inflammatory Syndrome in Children (MIS-C), an illness believed to be a severe complication of...
A precision medicine method enabled by artificial intelligence could lead to the first biomedical screening tool for a subtype of autism, according to a study published in Nature Medicine.
Autism...
An artificial intelligence algorithm was able to identify prostate cancer from tissue slides significantly more accurately than expert pathologists and previous algorithms, according to a study...
NIH has launched the Medical Imaging and Data Resource Center (MIDRC), which will utilize artificial intelligence and medical imaging to enhance COVID-19 detection and treatment.
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A deep learning tool could improve genomic sequencing processes, identifying disease-causing mechanisms that might otherwise be missed by traditional screening methods, according to a study published...
Artificial intelligence-enhanced electrocardiogram (ECG) may be able to accurately detect heart failure in patients being evaluated in the ER for shortness of breath, according to a study published in...
Researchers from MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) have developed a machine learning tool that can adapt when and how often it defers to human experts based on...
The University of Southern California (USC) Schaeffer Center for Health Policy & Economics has launched a population health project that will use digital health technologies to reduce health...
The Department of Energy (DOE), the Department of Health and Human Services (HHS), and the Department of Veterans Affairs have announced a new big data analytics initiative to coordinate and share...
