ClariCT.AI

by ClariPi  · Based in South Korea → — AI-Powered Image Clarity for Ultra-Low-Dose CT Scans
Radiology

Contact for pricing
Regulatory Status Disclosed

Overview

ClariCT.AI by ClariPi is an innovative, AI-powered CT image denoising solution designed to significantly increase image clarity, especially for low-dose and ultra-low-dose CT examinations. Utilizing a deep convolutional neural network and a proprietary Deep-learned Clarity Engine, the software is trained with millions of patient images to distinguish and selectively remove thousands of noise patterns while enhancing underlying anatomical structures. This vendor-neutral solution is fully DICOM compliant, ensuring compatibility with all CT scanners and PACS systems. It aims to improve diagnostic confidence for medical imaging experts by providing high-quality, noise-cleaned images that are comparable to those from high-dose CTs, thereby optimizing the trade-offs between image quality and radiation dose. ClariCT.AI supports a streamlined workflow with fast processing speeds and can be deployed in various clinical environments, including standalone, integrated into modalities, or cloud-based.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered CT image denoising for any body part
  • Deep Learning Clarity Engine for noise reduction and clarity enhancement
  • Vendor-neutral and DICOM compliant for broad compatibility
  • Enhances image clarity for low-dose and ultra-low-dose CT images
  • Preserves natural image texture while clearing quantum noises
  • Compatible with all CT scanners and PACS systems
  • Fast processing speed (10-60 seconds)
  • Fully automated operation for streamlined workflow
  • User-definable and scalable clarity settings
  • Supports various body parts including head, chest, heart, and abdomen

Use Cases

  • Reducing radiation dose in CT examinations while maintaining image quality
  • Improving diagnostic confidence for radiologists with clearer images
  • Enhancing image quality for low-dose lung cancer screenings
  • Extending the useful life of older CT equipment by enhancing degraded images
  • Providing safer CT exams for radiation-sensitive patients (e.g., pediatric, oncology)
  • Facilitating consistent quantitative and qualitative analysis of CT images

What Physicians Need to Know

DICOM Support & Standards
ClariCT.AI is fully compliant with the DICOM standard, enabling compatibility with all DICOM-compliant CT scanners and PACS systems. It processes and enhances DICOM images, with the output being an enhanced series tagged in DICOM format.
PACS Integration Method
The solution is compatible with all PACS systems and can be deployed as a standalone desktop PC application, integrated directly into CT machines or PACS, or via cloud-based distribution. It also integrates through AI marketplaces (e.g., Nuance AI Marketplace) and platforms like Siemens syngo.via OpenApps, ensuring seamless integration into existing IT and modality infrastructure. Processed images are automatically sent back to the PACS system.
Reading Room Workflow Impact
ClariCT.AI offers fully automated, real-time processing with fast speeds, streamlining workflow. It enhances image clarity for low-dose and ultra-low-dose CTs, increasing diagnostic confidence and supporting best practices in low-dose imaging. The system preserves natural image texture while reducing noise and offers user-definable clarity settings. It can operate in a GUI mode for side-by-side comparison or a background mode for automated processing.
AI Model Architecture (deep learning approach)
Utilizes an artificial intelligence deep-learned technology based on a deep convolutional neural network (DCNN), specifically a U-Net type architecture. It is trained in a vendor-agnostic manner using over one million patient images with varying noise levels across different body parts. Its 'Clarity Engine' selectively separates image noise while enhancing underlying anatomical structures.
Processing Speed (per study)
ClariCT.AI boasts fast and real-time processing speeds, with a reported processing time of 10-60 seconds per study.
FDA Clearance Pathway (510k/De Novo)
ClariCT.AI has received U.S. Food and Drug Administration (FDA) 510(k) clearance as a Class II medical device. It is also CE marked.
Supported Modalities
The tool is specifically designed for Computed Tomography (CT) images. It can handle CT images from all body parts, with particular effectiveness noted for head, chest, heart, and abdomen. While it supports coronal and sagittal views, it performs best on axial view images. It can enhance low-dose non-diagnostic Filtered Back Projection (FBP) and Iterative Reconstruction (IR) images.
Sensitivity & Specificity Data
Enhanced image clarity from ClariCT.AI is reported to be equivalent to standard dose settings, increasing reader diagnostic confidence based on subjective evaluations by board-certified radiologists. Studies suggest its potential to improve reading confidence and enable accurate analysis, particularly for low-dose lung cancer screening CT. A phantom study indicated a dose reduction potential (DRP) of 86% (81u201388%) for ClariCT.AI.
RSNA/ACR Validation
ClariCT.AI was first debuted at RSNA 2018 and presented at RSNA 2021. ClariPi states that clinical studies proving the efficacy of ClariCT.AI are being published. While not an official validation by RSNA/ACR, its presence in the Nuance AI Marketplace provides broad accessibility to radiologists.
Physician Tip

Leverage ClariCT.AI for ultra-low-dose CT scans to significantly reduce patient radiation exposure while maintaining diagnostic image clarity. Utilize the enhanced image quality to boost diagnostic confidence, especially in challenging low-dose scenarios, and consider its role in extending the useful life of older CT equipment. While effective across various body parts and views, note its optimal performance on axial images; for reformatted views, always refer to the original images for definitive diagnosis. The user-definable clarity settings offer flexibility to optimize image quality and radiation dose trade-offs according to clinical needs.

ClariCT.AI offers robust integration capabilities due to its DICOM compliance and vendor-agnostic design, ensuring compatibility with all CT scanners and PACS systems. It supports flexible deployment options, including standalone desktop installations, direct integration into modalities or PACS, and cloud-based solutions. Seamless integration is further facilitated through major AI marketplaces like Nuance AI Marketplace and platforms such as Siemens syngo.via OpenApps, simplifying deployment and minimizing the need for extensive infrastructure. The system is engineered for automated operation within existing clinical workflows, with processed images automatically returned to the PACS, and can integrate with CIS/RIS environments for comprehensive workflow management.

Details

Category Radiology & Imaging AI
Pricing Contact for pricing — Not disclosed
DeploymentCloud-based, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker), Stand-alone, Integration with PACS/RIS/CIS and AI marketplaces
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

ClariCT.AI is a software device intended for networking, communication, processing, and enhancement of CT images in DICOM format regardless of the manufacturer or model of the CT scanner. It received 510(k) clearance (K212074) from the U.S. Food and Drug Administration on July 27, 2021, as an update to its original clearance (K183460) to enable integration with AI Marketplace systems.

Integrations
EHR Not specified
Specialties Radiology

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Frequently Asked Questions

ClariCT.AI is designed for seamless integration, being fully compliant with DICOM standards and compatible with all CT scanners and PACS systems. It operates in a fully automated background mode, processing images in real-time (10-60 seconds) and can be deployed as a standalone solution, integrated into modalities/PACS, or via cloud-based platforms like the Nuance AI Marketplace.
ClariCT.AI has received both FDA 510(k) clearance (Class II) in the U.S. and CE Mark (Class IIa) in Europe, affirming its compliance with medical device regulations. It adheres to the DICOM standard, ensuring interoperability within existing imaging environments.
While effective across various body parts, ClariCT.AI is particularly optimized for denoising head, chest, heart, and abdomen CT images, and performs best on axial views. It may reject input with incorrect DICOM headers, and users should refer to original reformatted images for diagnosis as the algorithm was not separately trained on them.
ClariCT.AI offers flexible pricing models, including a one-time license fee or a subscription-based approach, which can be determined by the number of analyses performed or installations. Specific cost figures are not publicly detailed, but its vendor-neutral compatibility and ability to extend the life of existing CT scanners can offer cost efficiencies by avoiding new equipment purchases.
While specific direct competitors for vendor-agnostic deep learning CT denoising weren't extensively detailed, other deep learning reconstruction (DLR) algorithms are often integrated into CT scanners by manufacturers. ClariCT.AI distinguishes itself as a vendor-agnostic, post-processing solution that can be applied to images from any CT scanner, aiming to provide high-quality images even from ultra-low-dose scans.
ClariCT.AI significantly enhances image clarity in low-dose and ultra-low-dose CT scans by reducing quantum noise while preserving anatomical structures, which can increase radiologists' diagnostic confidence. This technology enables substantial radiation dose reduction for patients, improving safety, especially for vulnerable populations or those requiring frequent examinations.
ClariCT.AI is fully compliant with the DICOM standard for medical images, which inherently supports secure data exchange within healthcare IT systems. As an FDA-cleared and CE-marked medical device, it adheres to stringent regulatory requirements that include provisions for data integrity and security, although specific privacy protocols beyond DICOM compliance are not detailed in public information.

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Suggest an Edit → | Last Verified: 2026-04-18 | First Added: 2026-04-18

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