Imaging

Researchers from New York-based Mount Sinai Health System have combined artificial intelligence, imaging and clinical data to rapidly detect COVID-19 in patients.

POCUS technology from Butterfly Network expands screening capabilities, offering "an immediate and clear picture of what’s happening in a patient’s lungs."

The technique, called federated learning, is designed to enable collaboration among far-flung research organizations on machine learning models, while still protecting patient privacy.

Thirona and Delft Imaging have unveiled CAD4COVID, a tool to help triage COVID-19 cases and indicate the affected lung tissue.

“Instant triage” capability from behold.ai could speed diagnosis of COVID-19 and help ensure resources are allocated properly.

ADHA is working with RANZCR to launch the My Health Record CPD modules for clinical radiologists and imaging practices. 

The pilot showcases an approach to AI integration that keeps impact on the radiologist's workflow to a minimum.

Four experts in diagnostic imaging IT offer CIOs, CMOs and other leaders some best practices for making a complex technology work best for their own healthcare organizations.

A new study, conducted by Korean academic hospitals and Lunit, a medical AI company specializing in developing AI solutions for radiology and oncology, demonstrated the benefits of AI-aided breast cancer detection from mammography images.

Last week, Victoria-based Melbourne Pathology became the latest pathology provider to upload reports to My Health Record (MHR).