Canon Medical’s AI-based image reconstruction solution gains FDA clearance

Canon Medical Systems USA announced Tuesday, July 18, that its new deep convolutional neural network (DCNN) image reconstruction technology for CT scans has received FDA approval.

The company’s Advanced Intelligent Clear-IQ Engine (AiCE) uses deep learning techniques learned during a long training process to differentiate signal from noise. The DCNN represents a breakthrough that Canon Medical has said “forges a new frontier for CT image reconstruction.”

“Our AiCE technology utilizes a next generation approach to CT image reconstruction, further proving Canon Medical’s leadership and commitment to innovation in diagnostic imaging,” Dominic Smith, senior director of CT, PET/CT, and MR business units for Canon Medical Systems USA, said in a prepared statement. “This technology doesn’t just meet our customers’ evolving needs, it exceeds them, opening doors to clearer, more precise images to help optimize patient care.”

Michael Walter
Michael Walter, Managing Editor

Michael has more than 18 years of experience as a professional writer and editor. He has written at length about cardiology, radiology, artificial intelligence and other key healthcare topics.

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