Medical imaging company Annalise.ai announced the introduction of a new AI triage tool that automatically analyzes radiology reports and prioritizes their review based on the potential for containing critical findings.

Insight Medbotics has gained clearance from the U.S. Food and Drug Administration (FDA) for IGAR, a new robotics system designed to operate within the confines of an MRI bore.

Technology giant Philips and cloud-based medical imaging servicer Quibim are teaming up to improve the diagnosis and treatment of prostate cancer by developing a new care management platform, created through the integration of Philips MRIs and Quibim’s QP-Prostate, an image management and reporting platform powered by artificial intelligence.

The U.S. Food and Drug Administration (FDA) has approved a new tool for the early detection of dementia. AIRAmed, a German healthcare technology company, has been granted FDA 510(k) clearance for AIRAscore, a medical image management and processing system. The advanced artificial intelligence (AI) platform is now on its way to being deployed throughout the...

GE HealthCare has upgraded its Venue Ultrasound Systems with a new feature, powered by artificial intelligence. These ultrasound systems are used in care settings, including emergency rooms, all over the United States and GE hopes this new feature will expand what they can do.

A new deep learning model designed to help radiologists read noncontrast CT exams saved time and improved accuracy, according to new findings published in European Radiology. [1]

A new retrospective study out of Denmark may expose the limitations of artificial intelligence (AI) in assisting radiologists with interpreting chest radiographs. Researchers evaluated the diagnostic accuracy of different AI tools in detecting certain diseases of the lungs – and the results show human radiologists may have an advantage. The full analysis was published in...

British researchers studying the long-term side effects of COVID-19 may have found some answers thanks to whole-body MRIs.

A new AI model can interpret chest X-ray images accurately utilizing information that goes beyond the image itself, much like an experienced radiologist. The technology has outperformed other AI typically used to aid in the diagnosis of disease, according to a new study out of Germany published in Radiology. [1]

Scheduling a sonogram of the bladder for a child is much easier in rural areas than urban ones, according to a study published in the Journal of Surgical Research. [1]