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. 

Such scans offer significant reductions in radiation exposure, but there is concern that lower dosage might sacrifice image quality, causing readers to miss important findings. 

Dual source CT scanners can eliminate the need for beta blockers to control heart rates during coronary CTA exams.  

Compared to freehand techniques during procedures requiring needle positioning, robot assistance results in fewer adjustments, even for seasoned interventional radiologists.

New survey data detail how simulation curriculum and training improves procedural competence among radiology residents, prompting some to suggest that it be routinely incorporated into IR residency. 

Experts recently compared the use of a 0.55T low-field MRI system to a 1.5T system to determine whether the results rendered were within an acceptable diagnostic range.

Age, specialty training and reading volume give readers an edge over their peers when it comes to screening mammogram interpretations.

A team of specialists out of Cedars-Sinai developed the deep learning model using TTEs from nearly 3,000 patients.