Products

PixelShine
ALGOMEDICA
Radiology & Imaging AI
PixelShine is an FDA-cleared, AI-powered deep learning software by AlgoMedica that reduces noise in CT scans, enhancing image quality at low radiation doses and integrating with existing radiology workflows.

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About ALGOMEDICA

AlgoMedica is a medical imaging AI software company dedicated to developing and marketing advanced AI products for radiology departments and imaging centers. Their flagship product, PixelShine, leverages proprietary artificial neural networks and deep learning reconstruction technology to significantly enhance the quality of CT scan images, particularly those acquired at low radiation doses, potentially as low as 10% of normal doses.

PixelShine is designed to be vendor-neutral, ensuring compatibility with virtually any existing CT scanning equipment, including older or refurbished systems, thereby eliminating the need for costly hardware upgrades. The software’s primary goal is to improve diagnostic image quality by effectively reducing image noise while preserving crucial fine details and natural texture. This capability supports ALARA (As Low As Reasonably Achievable) compliant low-dose protocols, leading to safer imaging practices for patients while providing radiologists with clearer, more reliable images for accurate diagnostics. AlgoMedica emphasizes that PixelShine delivers superior image quality compared to the often waxy or blurry results produced by traditional iterative reconstruction software offered by CT scanner manufacturers.

The technology is applicable across a wide range of clinical scenarios, including low-dose lung screening, pediatric imaging, cardiac imaging, neurology, low-contrast abdominal CT, and imaging of obese patients. PixelShine seamlessly integrates with existing DICOM and PACS workflows, allowing for rapid processing and delivery of enhanced studies, ultimately streamlining radiological workflows and improving patient care.

Focus Areas

AI-based medical imaging software CT scan quality enhancement low radiation dose CT deep learning reconstruction noise reduction vendor-neutral software diagnostic confidence lung cancer screening pediatric imaging COVID-19 detection

Business Intelligence

Key InvestorsScientific Health Development, Green Park & Golf Ventures
PartnershipsSCANEX, Quantum Healthcare, Schumacher-Med Tech, Radiology Oncology Systems, InferVision, teMED
TechnologyDeep learning reconstruction technology, AI-based software, proprietary artificial neural networks, vendor-neutral, DICOM and PACS workflows, non-linear filter for noise reduction
FDA Clearances1 cleared products (estimated)

What Physicians Need to Know

Specialization: CT Image Enhancement
ALGOMEDICA specializes in healthcare AI tools, with a primary focus on enhancing the quality of Computed Tomography (CT) scans. Their flagship product, PixelShine, utilizes deep learning reconstruction technology to significantly reduce noise in CT images, particularly those acquired with low radiation doses.
Key Differentiator: Low-Dose, High-Quality Imaging
Unlike traditional iterative reconstruction (IR) software that can produce waxy or blurry images, PixelShine delivers sharp, clear, and natural-looking CT scans even from very noisy, ultra-low-dose acquisitions. This enables adherence to the ALARA (As Low As Reasonably Achievable) principle without compromising diagnostic quality.
Technology Stack: Deep Learning & Vendor Agnostic
The core of ALGOMEDICA's technology is its proprietary deep learning reconstruction algorithms. PixelShine is an AI-based software that is vendor-agnostic, meaning it can improve the quality of scans from any CT equipment, regardless of age or manufacturer, as long as minimum functional requirements are met. It processes DICOM format images and can run on a PC/server or virtual machine.
Use Cases
PixelShine has wide applications across various CT imaging needs, including ultra-low dose lung cancer screening, pediatric CT scans, imaging of obese patients, cardiac imaging, neurology, low-contrast abdominal studies, virtual colonography, and musculoskeletal imaging.
Regulatory Clearances
PixelShine has received FDA 510(k) clearance in the U.S. and the CE Mark in Europe, affirming its safety and efficacy for clinical use.
Physician Tip

For radiologists, AlgoMedica's PixelShine offers enhanced image quality that can lead to increased diagnostic confidence, potentially reduced reading times, and a lower cognitive load, especially when reviewing low-dose CT scans. The ability to obtain sharp, artifact-free images from noisy data improves the detectability of subtle pathologies. For primary care physicians, PixelShine empowers them to refer patients for necessary CT scans with less concern about excessive radiation exposure, as it ensures diagnosable quality even at substantially reduced doses. This can be a valuable alternative to more expensive or uncomfortable imaging modalities like MRI for certain patient assessments.

PixelShine is designed for seamless integration into existing radiology workflows. It accepts noisy CT scans in DICOM format, processes them automatically in the background without requiring user interaction or workflow changes, and then sends the enhanced DICOM studies back to the Picture Archiving and Communication System (PACS) for radiologist interpretation. Its vendor-agnostic nature ensures compatibility with virtually all CT scanners. AlgoMedica also partners with other AI developers, such as Infervision, to integrate PixelShine and further improve the performance of their AI algorithms for pathology detection.

Products by ALGOMEDICA

1 product in the directory

PixelShine
ALGOMEDICA
Radiology & Imaging AI
PixelShine is an FDA-cleared, AI-powered deep learning software by AlgoMedica that reduces noise in CT scans, enhancing image quality at low radiation doses and integrating with existing radiology workflows.

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Press & Coverage

AlgoMedica
AlgoMedica and InferVision Establish Partnership to Improve the Performance of Medical Imaging AI Software to Identify COVID-19
AlgoMedica partnered with Infervision to integrate PixelShine into InferReadu2122 CT Pneumonia software, aiming to improve AI algorithm performance for ultra-low dose lung CT imaging by reducing noise and enhancing diagnostic confidence, particularly for COVID-19 detection.
2020-05
AuntMinnie
AlgoMedica, InferVision partner on imaging AI software
AlgoMedica and InferVision have partnered to enhance imaging AI software, integrating AlgoMedica's PixelShine into InferVision's InferRead CT pneumonia software to improve analysis of ultralow-dose lung CT imaging by reducing noise.
2020-05
British Journal of Radiology
Potential for Dose Reduction in CT Emphysema Densitometry with Post-Scan Noise Reduction: A Phantom Study
This research paper, published in 2020, explores the potential for radiation dose reduction in CT emphysema densitometry through post-scan noise reduction techniques.
2020-03
American Journal of Roentgenology
Combination of Deep Learning-Based Denoising and Iterative Reconstruction for Ultra-Low-Dose CT of the Chest: Image Quality and Lung-RADS Evaluation
This paper, published online in 2020, investigates the combination of deep learning-based denoising and iterative reconstruction to improve image quality in ultra-low-dose CT of the chest and its impact on Lung-RADS evaluation.
2020-03
radRounds
Practical AI in Radiology - Featured Tech Showcase: Algomedica
This article features AlgoMedica's PixelShine AI technology, highlighting its mission to enhance patient safety by reducing radiation dose and improving the diagnostic quality of CT datasets.
2021-03
AlgoMedica Blog
Let's Reassess Radiological Patient Safety, Radiation, and CT Image Quality
This blog post discusses the critical balance between acquiring high-quality CT images for accurate diagnoses and minimizing radiation exposure for patient safety.
2022-02
AlgoMedica Blog
Two Benefits of Using PixelShine
This article highlights how AlgoMedica's AI-based PixelShine technology can reduce image noise in CT scans, particularly low-dose procedures, to produce high-quality images, and offers financial benefits by modernizing older scanners and deferring capital replacement projects.
2021-07
Journal of Medical Physics
Evaluation of Low-dose Computed Tomography Images Reconstructed Using Artificial Intelligence-based Adaptive Filtering for Denoising
This study, published in January-March 2025, evaluates low-dose CT images reconstructed using AlgoMedica's PixelShine, an AI-based adaptive filtering tool for denoising, comparing its performance with iterative reconstruction algorithms.
2025-01

Frequently Asked Questions

AlgoMedica's primary product is PixelShine, an AI-powered software designed to enhance the quality of CT scan images by significantly reducing noise, particularly in low-dose scans. This vendor-agnostic solution improves diagnostic quality and supports lower radiation protocols across various CT scanner types.
PixelShine has received FDA 510(k) clearance, indicating its compliance with medical device standards. Additionally, AlgoMedica states that PixelShine adheres to all necessary requirements for Protected Health Information (PHI) privacy.
AlgoMedica positions PixelShine as an affordable alternative to purchasing new CT scanners, as it upgrades existing equipment to provide next-generation image quality. The company suggests that investing in PixelShine can increase an independent imaging center's annual revenue by 15% to 25% by offering high-quality, low-dose CT scans.
AlgoMedica emphasizes a simple and quick implementation process, with installations typically completed within 2 to 4 weeks by an AlgoMedica customer success manager. The software is designed for remote installation and integrates seamlessly with existing DICOM and PACS workflows.
Yes, AlgoMedica has established partnerships, notably with InferVision to integrate PixelShine into InferRead CT pneumonia software, aiming to improve AI algorithm performance for ultra-low-dose lung CT imaging. They also have a distribution agreement with Radiology Oncology Systems.
AlgoMedica is a privately held Series A company, founded in 2012. As of March 2026, it has raised a total of $5.17 million in funding, indicating ongoing investment and development in its healthcare AI solutions.

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