DeepHealth, a subsidiary of the Los Angeles-based imaging giant, said its novel algorithm demonstrated higher performance than a group of trained breast radiologists. 

ABR said artificial intelligence will help determine which oral and computer-based exams to review more closely for infractions. 

The algorithm also demonstrated “excellent” performance in spotting lung cancers missed on chest x-rays, experts wrote in Radiology: Cardiothoracic Imaging. 

The Paris, France-based firm joins a growing list of vendors to earn these new technology add-on payments from the feds.

The problem persists across physicians of varying tenure, signaling that understanding the clinical situation may be more important than experience alone.

Also, the Radiology Business Management Association declares Nov. 30 through Dec. 5 "Vendor Appreciation Week," and several new AI partnerships in imaging. 

Also Hackensack Meridian Health touts new SPECT/CT camera, Novarad rolls out free COVID AI software, and more market moves. 

The tool does so by analyzing a patient’s speech patterns and facial movements and can make a call with the accuracy of an ER doc, researchers claim. 

Artificial intelligence costs less, integrates into workflows, and is less likely to take over their duties, Daniel Ortiz and colleagues wrote in JACR. 

Dartmouth College experts are now looking to upload their novel training to the web to help others share in their success. 

The findings illustrate that even if such algorithms are ready for primetime, providers have work to do convincing patients of their efficacy, Dutch experts noted.

IBM and others designed an algorithm that can match or even surpass fledgling physicians at reading the most common imaging exam in the ED.