Image IQ: Patient Presenting with Multiple Abdominal Radio-Opacities

Artificial intelligence (AI) assessments of chest X-rays identified 28 percent of a 17,000 plus cohort of never-smokers as being at high-risk for lung cancer, according to research to be presented at the annual Radiological Society of North America (RSNA) conference next week.

KA Imaging President and Chief Executive Officer Amol Karnick and Chief Technology Officer Karim S. Karim, Ph.D., offer insights into current X-ray imaging trends, as well as opportunities for innovation.

A 45-year-old basketball player presents with an acute injury in the emergency room. What is the most likely diagnosis for the shoulder injury depicted in the image?

The ability to consider and comment on prior imaging in the radiology report may help reduce extraneous addenda requests.

Featuring 12 prior FDA clearances for chest X-ray and non-contrast head CT, the Annalise Triage platform may help streamline radiology workflows and prioritize timely diagnosis of urgent conditions.

Review the case study and test your knowledge to make the correct diagnosis.