Oxipit.aiAI-powered computer vision for medical imaging workflows.

4.7 (6)

Reviewed by Daniel Nikulshyn·Updated July 2026

Healthcare Medical Imaging Computer Vision Radiology Clinical AI Enterprise PACS Integration

Overview

Oxipit.ai is an AI-powered computer vision platform for medical imaging workflows, specifically radiology. The company develops clinically validated AI solutions to improve efficiency, support diagnostic workflows, and enhance patient care. Oxipit offers three comprehensive suites: Oxipit CXR Suite for chest X-ray, Oxipit CT Suite for chest CT, and Oxipit MSK Suite for musculoskeletal imaging. Their flagship innovation, ChestLink, autonomously identifies normal chest X-ray studies with 99.9% precision, automating up to 40% of cases. The platform aims to streamline radiology workflows, reduce oversights, and support confident decision-making. Oxipit has partnered with several healthcare providers and recently entered an agreement to be acquired by Sectra, a leading provider of enterprise imaging and healthcare IT, to scale its clinically validated AI solutions globally.

Key features

Automated chest X-ray abnormality detection
Case prioritization and triage
Radiology reporting assistance
Quality assurance checks
PACS and DICOM workflow integration
Clinical decision support for radiologists

Pricing

Model: Freemium
Category: Computer Vision
Rating: 4.7 / 5 (6)

Use cases

Automated Chest X-Ray Screening

Radiologists use Oxipit to automatically detect abnormalities in chest X-rays, reducing missed findings and supporting more consistent diagnostic interpretation.

Urgent Case Triage

Hospitals prioritize critical chest imaging studies through AI-driven triage, helping radiology teams address time-sensitive cases faster within their PACS workflow.

Radiology Quality Assurance

Imaging departments leverage automated QA checks to catch potential oversights and maintain reporting quality across high-volume chest X-ray workloads.

Reporting Workflow Acceleration

Clinicians streamline radiology report creation using AI-generated findings as decision support, improving documentation efficiency in everyday practice.

Pros & Cons

Pros

Focused expertise in chest X-ray analysis
CE-marked for clinical use in Europe
Integrates with existing PACS and radiology systems
Supports triage and reporting efficiency

Cons

Limited primarily to chest imaging modalities
Requires regulatory approval per region for clinical use
Adoption depends on hospital IT integration

Battle record

Across 1 battle in the Pantheon.

1st

2nd

3rd

Last battle

#2
Computer Vision Showdown — August 26, 2024
Aug 26, 2024 · #2 of 3

Reviews

4.7

Average from 6 ratings.

Grace Okafor

Mar 16, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: pACS and DICOM workflow integration and integrates with existing PACS and radiology systems. On balance the feature set — especially quality assurance checks — justifies the 5 stars for our use case.

Jamal Carter

Jan 13, 2026

Solid for our team

We rolled this out across the team last quarter and focused expertise in chest X-ray analysis. Quality assurance checks fits neatly into how we already work, and case prioritization and triage removed a step we used to do by hand. Adoption depends on hospital IT integration, which is the main caveat, but it has held up under daily use.

Hiroshi Tanaka

Oct 18, 2025

Solid for our team

We rolled this out across the team last quarter and integrates with existing PACS and radiology systems. Radiology reporting assistance fits neatly into how we already work, and case prioritization and triage removed a step we used to do by hand. but it has held up under daily use.

Mei-Ling Wong

Jun 12, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is automated chest X-ray abnormality detection — handled better than most — and cE-marked for clinical use in Europe. Worth the time if this is your use case.

Diego Fernández

Jun 12, 2025

Does the job

Pretty happy overall. Clinical decision support for radiologists just works and integrates with existing PACS and radiology systems. but no dealbreakers — I'd recommend it to a friend without hesitating.

Olga Ivanova

Jun 9, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on automated chest X-ray abnormality detection, and focused expertise in chest X-ray analysis caught me off guard. Adoption depends on hospital IT integration is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Q&A

What are the key features of Oxipit.ai?

Key features include automated chest X-ray abnormality detection, case prioritization and triage, radiology reporting assistance, and quality assurance checks.

Asked by Aisha Khan · Jan 29, 2026

What are the limitations of Oxipit.ai?

Oxipit.ai is limited primarily to chest imaging modalities and requires regulatory approval per region for clinical use, with autonomous operation currently not available in the United States.

Asked by Celeste Marchetti · Jan 22, 2026

Is Oxipit.ai integrated with existing systems?

Yes, Oxipit.ai integrates with existing PACS and radiology systems, and is CE-marked for clinical use in Europe.

Asked by Marisol Pena · Jan 5, 2026

What is Oxipit.ai used for?

Oxipit.ai is an AI-powered computer vision platform for medical imaging workflows, specifically radiology, to improve efficiency and support diagnostic workflows.

Asked by Priyanka Menon · Dec 11, 2025