External Validation and Update of the Risk Prediction Model for Denosumab-Induced Hypocalcemia Developed From a Hospital-Based Administrative Database This study used Optum's deidentified Market ...
Study results have validated that five routinely measured clinical values reliably identified patients with type 2 diabetes who had significantly different A1c responses to two important classes of ...
Among more than 2,300 patients with advanced chronic liver disease, a six-parameter algorithm, known as PLEASE, indicated that patients stratified as high risk had a cumulative risk of developing de ...
The VA touts its machine learning model, REACH VET, “as the nation’s first clinical use of a validated algorithm to help identify suicide risk.” Launched in 2017, the system flags 6,700 veterans a ...
The Company expects to launch an app in 2021 featuring interactive algorithms using the integrated GEP score and traditional clinicopathologic factors to predict risk FRIENDSWOOD, Texas--(BUSINESS ...
CHICAGO – AI has the potential to foster early and accurate disease detection, precision and personalized medicine, population health and care access, clinical decision support, operational ...
Health tech startup Dandelion Health launched a clinical artificial intelligence marketplace that merges third-party algorithms and Dandelion's data platform and model validation capabilities to ...
An artificial intelligence program designed to prevent suicide among U.S. military veterans prioritizes white men and ignores survivors of sexual violence, which affects a far greater percentage of ...
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