Features pertaining to location, density and superimposed structures were recently found to be associated with poorer outcomes for patients who initially had their lung cancer overlooked on radiographs.

The Australia-based company made the announcement on April 12 in a release that described the timing of these AI-assisted solutions as “increasingly important” amid growing workloads and staffing shortages. 

Radiologists used an AI tool-building platform to create their model(s), which allows clinicians the opportunity to develop AI models without any prior training in data sciences or computer programming. 

The tool’s sensitivity was recorded as 99.1% for abnormal radiographs and 99.8% for critical radiographs—better than two board-certified radiologists who also interpreted the exams. 

Has point-of-care ultrasound outpaced hospitals’ capacity to incorporate the technology without anointing any particular specialty its proper guardian? The case could be made.

Christine Seidman, MD, director of the cardiovascular genetics program at Brigham & Women’s Hospital, spoke to us about using genetics to crack the code of cardiovascular disease. 

The American Society of Echocardiography released a new guideline document on the comprehensive use of echocardiography in the diagnosis and therapeutic intervention of rheumatic heart disease.

Sean Fain, PhD, vice chair of radiology and research and a professor of radiology, University of Iowa, discusses how long-COVID lung damage can be tracked using xenon (Xe) gas MRI and quantitative CT at RSNA 2022.