Not only could the materials reduce patient exposure to ionizing radiation, they also could reduce costs associated with traditional X-ray equipment, according to newly published research in Nature Communications.

Experts from Mayo Clinic recently detailed their experience with the new offering, sharing that out of their 10 top ranked candidates, six had signaled the program.

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.