Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans Back Abstract Machine learning methods offer great promise for fast and accurate detection and prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest radiographs (CXR) and chest computed tomography (CT) images. Many articles have been…

Opening the Duke electronic health record to apps: Implementing SMART on FHIR

Back Opening the Duke electronic health record to apps: Implementing SMART on FHIR Highlights • The SMART on FHIR framework is a novel tool for EHR interoperability. • A custom integration of SMART on FHIR with the Epic EHR is demonstrated. • Several provider and patient apps are successfully integrated using this technique. • Security…