Vendor source
Reviewed 11 May 2026
Completeness Strong (69%)
PixelShine
AlgoMedicaPixelShine is an algorithm for de-noising CT datasets supporting new CT protocols to drive patient dose down, while image quality is maintained. PixelShine may aid detectability of subtle pathologies which are borderline visible. The applications apply to CT without limit whether Filtered Back projection (FBP) and Iterative Reconstruction (IR).
Supported by 3 papers
General Information
Product name
Company
Modality
Main task
Not specified
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Disease targeted
Not specified
Regulatory Information
Pathway:
MDD
Class:
Class IIa
Verified by Health AI Register
Pathway:
510(k) cleared
Class:
Class II
Verified by Health AI Register
Other certifications
Not specified
Evidence & Research
Peer-Reviewed Papers
Impact of Deep Learning-Based Image Reconstruction on Tumor Visibility and Diagnostic Confidence in Computed Tomography
Bioengineering · Dec 2024
Assessment of image quality and impact of deep learning-based software in non-contrast head CT scans
Scientific Reports · May 2024
Impact of AI-Based Post-Processing on Image Quality of Non-Contrast Computed Tomography of the Chest and Abdomen
Diagnostics · Mar 2024
Technical Specifications
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AI Platforms
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Not specified
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Not specified
Pricing Information
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Based on
Source: Vendor | First published: May 2, 2024 | Last updated: May 11, 2026