Company profile

ALGOMEDICA

Medical Imaging & Radiology

Company profile

About ALGOMEDICA

AlgoMedica is a medical imaging AI software company specializing in CT scan quality enhancement through advanced denoising technology. Their flagship product, PixelShine, addresses a critical challenge in radiology: balancing patient safety through low radiation exposure (ALARA - As Low As Reasonably Achievable) with the need for high-quality diagnostic images. Using deep learning reconstruction technology, PixelShine processes noisy CT scans acquired at low radiation doses and transforms them into enhanced-quality images suitable for diagnostic and screening purposes. The software is vendor-agnostic and compatible with CT scanners from any manufacturer, including legacy systems, eliminating the need for expensive equipment upgrades. PixelShine produces natural-looking, sharp images without the waxy or blurry artifacts associated with traditional Iterative Reconstruction (IR) software. The solution integrates seamlessly into existing radiology workflows, accepting DICOM format inputs and sending processed studies directly to PACS systems. AlgoMedica serves radiologists, imaging centers, hospitals, and health systems across multiple clinical applications including lung screening, pediatric imaging, cardiac imaging, brain scans, and abdominal imaging. The company is particularly focused on enabling proactive screening of asymptomatic populations, where AI algorithms can efficiently process large volumes of low-dose scans. By enhancing CT scan quality while maintaining low radiation exposure, AlgoMedica aims to improve patient care, increase radiologist reading confidence, and provide cost-effective imaging solutions for healthcare providers.

Company description ALGOMEDICA official website

Primary marketMedical Imaging & Radiology
Commercial modelCommercial information available on request
Company presenceOfficial website
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01 · Operating footprint

Where the Company operates

Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.

Clinical focus

  • Abdominal imaging
  • Brain imaging
  • Cardiac imaging
  • Lung cancer screening
  • Obesity-related imaging challenges
  • Pediatric imaging

Who it serves

  • Health systems
  • Hospitals
  • Imaging centers
  • Medical clinics
  • Radiology departments

Deployment & integration

On Premise deployment with recorded integration context.

Recorded integration context: DICOM, PACS.

Geographic context

MarketsSouthwest region focus (Arizona, California) mentioned in job posting · United States
Company sourceOfficial website

Company milestones

Platform expansion

Product PixelShine now available for purchase after years of development. Actively hiring Sales Managers for US market expansion, particularly Southwest region.

Partnerships

Recorded partners

  • CT Protocols LLC mentioned through testimonial from founder Dr. Sarabjeet Singh

02 · Flagship portfolio

Products, workflows, and platform capabilities

Selected source-backed Company products and the available commercial context.

PixelShine

AI-powered CT scan denoising software for enhanced image quality at low radiation doses

Software · On PremiseCompany source

03 · Research intelligence

Research Intelligence evidence

Publications, preprints, clinical validation, and regulatory records in Evidence Position order.

04 · Company-reported outcomes

Outcomes and case studies

Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.

Enhanced image quality with higher SNR

Denoising of low-dose CT scans

Faster processing than iterative reconstruction

Compared to CT scanner built-in IR software

Natural-looking images without waxy or blurry artifacts

Superior to competitive Iterative Reconstruction offerings

Reduced reading time and cognitive load for radiologists

Enhanced clarity and sharpness of images

Mass General Hospital (via CT Protocols LLC)

Ultra low dose lung parenchyma imaging with improved quality

Higher quality, better noise reduction on ultra low dose scans, edges better defined, no artifacts

Palo Alto Medical Clinic

CT scan quality enhancement through denoising technology

Radiologist testimonial: 'Fabulous, very impressive and I am looking forward to using it in my clinic'

University of Alabama at Birmingham (UAB)

High quality scans through substantial noise reduction in low dose scans

Chief of Body CT describes PixelShine as 'revolutionary tool in image processing'

University of Virginia Health System

Expanding patient-safe CT scans beyond pediatrics and lung screening

Machine learning tools like PixelShine have potential to make CT imaging routine for all applications

05 · Leadership

Leadership team

Leadership profiles and professional links from the current Company record.

Ramesh Neelmegh

Ramesh Neelmegh

Vice President, Engineering & Founder

LinkedIn

Casey McGlynn

Legal Advisor & Investor

LinkedIn

06 · Company updates

Updates from ALGOMEDICA

Recent articles published on ALGOMEDICA's official website.

No Company updates are currently listed.

07 · HAIC coverage

Coverage and analysis

Health AI Central reporting that mentions this Company.

No HAIC coverage is currently linked to this Company.

08 · Official presence

Company sources and channels

Curated official destinations from the active Company record.

09 · Market pathway

Additional Companies in this Market

Other active Companies in the same market, selected alphabetically from the HAIC directory.

Market context

Medical Imaging & Radiology

Companies that apply AI to analyze medical images for diagnostic purposes, workflow optimization, or clinical decision support. Covers general radiology (X-rays, CT scans, MRIs, ultrasounds) across multiple organ systems, as well as specialized imaging in ophthalmology and dermatology.

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10 · Pro research

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ResearchEvidence analysis

Linked research, clinical, and regulatory source pathways.

CompanyTechnical context

Expanded product, deployment, integration, and partnership research.

MethodSource & review record

Record-level provenance and review context.

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