X-Ray

In light of the recent death of Sen. Lindsey Graham from aortic dissection, we highlight pertinent diagnostic principles and key imaging findings for the timely detection of aortic dissection, a topic that Alan Braverman, MD, FACC, discussed in an interview with Diagnostic Imaging.

Catch up on a variety of FDA news in radiology from the past week.

The Reporting Pro software reportedly offers an array of AI-enabled features that may help streamline radiology reports.

Catch up on the top AI-related news and research in radiology over the past month.

Catch up on a variety of new FDA clearances in radiology from the past week.

Recently published multinational research revealed that AZtrauma had a 95.6 percent AUC for detecting dislocations and a 97.5 percent AUC for detecting joint effusions.

A retrospective comparison of AI platforms from seven different manufacturers for stand-alone lung cancer detection revealed sensitivity rates ranging between 20.8 percent to 77.8 percent.

In recent interviews, Andrew Del Gaizo, MD, Nicholas Galante, MD and David Larson, MD, MBA, shared their thoughts on the rapidly increasing imaging volume in radiology, key ramifications and possible solutions.

Over a 10-year period, radiology report turnaround times for Medicare beneficiaries increased 113 percent with a total 87 percent increase occurring in 2022 and 2023, the last two years of a newly published retrospective study.

Catch up on a variety of new FDA clearances and approvals in radiology from the past week.

Catch up on the top AI-related news and research in radiology over the past month.

Only 41 percent of radiologists spotted radiographs that were generated by the large language model GPT-4o, according to newly published research.

Catch up on a variety of new FDA clearances and approvals in radiology from the past week.

Reportedly the first generative AI model in radiology to receive the FDA breakthrough device designation, Cognita Chest X-Ray (CXR) facilitated an 18 percent improvement in CXR interpretation efficiency based on preliminary data.

The FDA clearance for the AI-enabled chest X-ray software qXR-Detect reportedly includes detection of findings in the lung, pleura, hila and heart, bone and mediastinum.