Technology | Computed Tomography (CT) | June 24, 2019

ClariPi Gets FDA Clearance for AI-powered CT Image Denoising Solution

ClariCT.AI uses deep convolutional neural network to reduce image noise in low-dose and ultra-low-dose CT images

ClariPi Gets FDA Clearance for AI-powered CT Image Denoising Solution

June 24, 2019 — Artificial intelligence (AI) imaging solution form ClariPi Inc. has received U.S. Food and Drug Administration (FDA) 510(k) clearance for its AI-based computed tomography (CT) denoising technology, ClariCT.AI.

First debuted at the 2018 Radiological Society of North America annual meeting (RSNA 2018), ClariCT.AI uses a deep convolutional neural network, trained to work in a vendor-agnostic way, to reduce noise and enhance image clarity for low-dose and ultra-low-dose DICOM CT images. Trained with more than 1 million patient images containing varying degrees of noise for different body parts, its Clarity Engine separates image noise selectively while enhancing underlying structures, thus providing clarity-restored images. 

ClariPi believes that the clarity-restored images have the potential to improve reading confidence of radiologists, as well as to enable accurate analysis by computer-aided solutions for various imaging applications, especially for low-dose lung cancer screening CT. 

ClariPi will be showing the ClariCT.AI at the 2019 Society for Imaging Informatics in Medicine annual meeting (SIIM19), June 26-28 in Aurora, Colo.

For more information: www.claripi.com

Related Content

News | Artificial Intelligence | November 18, 2019
November 18, 2019 — Visage Imaging, Inc. (Visage), a wholly owned subsidi
RamSoft has been a proponent of the cloud since over a decade; the reason – patient data protection
News | Information Technology | November 18, 2019
November 18, 2019 — A recent report by security firm Emsisoft stated that
The study finds it's possible to use commercial facial recognition software to identify people from brain MRI that includes imagery of the face
News | Magnetic Resonance Imaging (MRI) | November 15, 2019
November 15, 2019 — Though identifying data typically are removed from medical image files before they are shared for
62-year-old woman with pure ground-glass nodules (GGN). PET/CT fusion image shows pure GGN with tumor maximum standardized uptake value of 2.8 (circle).

62-year-old woman with pure ground-glass nodules (GGN). PET/CT fusion image shows pure GGN with tumor maximum standardized uptake value of 2.8 (circle).

News | PET-CT | November 15, 2019
November 15, 2019 — According to an article published ahead-of-print in the...
EchoGo uses artificial intelligence (AI) to calculate cardiac ultrasound left ventricular ejection fraction (EF), the most frequently used measurement of heart function, left ventricular volumes (LV) and, for the first time for an AI application, automated cardiac strain.

EchoGo uses artificial intelligence (AI) to calculate cardiac ultrasound left ventricular ejection fraction (EF), the most frequently used measurement of heart function, left ventricular volumes (LV) and, for the first time for an AI application, automated cardiac strain.

News | Cardiovascular Ultrasound | November 14, 2019
November 14, 2019 — Ultromics has received 510(k) clearance from the U.S.

Guerbet presented its Contrast&Care injection management solution at ECR 2018

News | Contrast Media | November 13, 2019
November 13, 2019 – Guerbet, a global specialist in...
 MaxQ AI
News | Artificial Intelligence | November 13, 2019
November 13, 2019 – MaxQ AI announced a new partnership agreement with...