Contextflow

Margaretenstraße 70/2/8, Vienna, 1050, Austria All Austria companies → — Founded 2016

Imaging AI Specialist

Oncology Pulmonology Radiology

Oncology AI

Series B — $10.3M

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Contextflow ADVANCE Chest CT

Contextflow

Oncology AI

Contextflow ADVANCE Chest CT is an AI-powered computer-aided detection system that assists radiologists in analyzing chest CT scans for lung cancer, ILD, and COPD. It offers nodule detection, tracking, quantitative tissue analysis, qualitative pattern analysis, 3D image search, and integrates directly into PACS for enhanced decision support.

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About Contextflow

Contextflow is an Austrian deep tech healthcare company specializing in artificial intelligence solutions to enhance radiology workflows and improve diagnostic accuracy. Spun off from the Medical University of Vienna and the Technical University of Vienna in 2016, the company develops deep learning-based software for medical image analysis. Their core technology, such as ADVANCE Chest CT (formerly SEARCH Lung CT), is an AI-based medical device software designed to detect, visualize, and quantify lung nodules and various lung disease patterns in chest CT scans, including those related to lung cancer, interstitial lung diseases (ILD), COPD, and incidental pulmonary embolism.

For physicians, Contextflow’s solutions aim to provide complementary information, reduce reading times, and increase reporting quality and confidence. The software integrates seamlessly into existing PACS viewer systems, offering features like malignancy scoring to aid in early lung cancer detection and reduce false positives and negatives, potentially avoiding unnecessary follow-up procedures. By automating the detection of disease patterns, Contextflow helps radiologists prioritize critical cases and obtain relevant information directly from images, shortening search times significantly and addressing challenges such as staff shortages and increasing workloads in radiology.

Focus Areas

AI in radiology chest CT lung cancer ILD COPD lung nodule detection 3D image search medical image analysis incidental pulmonary embolism (iPE)

Business Intelligence

Key Investors	European Innovation Council, B&C Innovation Investments, Nova Capital (Italy), Peak Pride Management, APEX Ventures, Crista Galli Ventures, IST cube, Nina Capital, Novacapital, TTIP Beteiligungs GmbH, HPH Start-up Unit, xista science ventures
Partnerships	IKK Südwest, Xcare, MEDIQX health management GmbH, Mint Medical, VUNO, Mesalvo, UZ Leuven, Curagita, Kanbai Tech, Blackford, RevealDx, Softway Medical, Oxipit, STATdx, Alphatron Medical, Dedalus HealthCare, Neologica, OpenRad
Technology	Deep learning-based software, 3D image-based search engine (SEARCH/ADVANCE Chest CT), AI-driven tools, flexible, transparent and scalable technology architecture, integrates with PACS/RIS

What Physicians Need to Know

Specialization: Chest CT Analysis

Contextflow specializes in AI-driven analysis of chest CT scans, providing comprehensive support for a wide range of pulmonary conditions.

Key Focus Areas

Their solutions target lung cancer (including screening, nodule detection, and malignancy scoring), Interstitial Lung Disease (ILD), Chronic Obstructive Pulmonary Disease (COPD), and incidental pulmonary embolism (iPE).

Nodule Detection & Tracking

Offers high-quality lung nodule detection and quantification, including tracking changes over time with features like the TIMELINE view, and malignancy scoring through integration with partners like RevealDx.

Quantitative & Qualitative Analysis

Provides quantitative and qualitative analysis of numerous lung tissue patterns, such as consolidation, effusion, emphysema, ground-glass opacity, honeycombing, pneumothorax, and reticular patterns.

3D Image Search (SEARCH)

Features a 3D image-based search engine (SEARCH) that helps radiologists solve difficult cases by retrieving visually similar, expert-verified reference cases and providing relevant literature and differential diagnoses.

Incidental Pulmonary Embolism (iPE)

Offers a prioritization tool (CINA-iPE) to automatically detect and notify doctors of incidental pulmonary embolisms, improving workflow efficiency for time-sensitive patients.

Key Differentiator: Comprehensive Approach

Unlike many solutions focusing on single conditions, Contextflow's ADVANCE Chest CT provides comprehensive support for multiple conditions in one tool, ensuring radiologists don't miss crucial details.

Key Differentiator: Seamless Workflow Integration

Designed to integrate directly and seamlessly into existing PACS/RIS environments, allowing radiologists to access AI insights without changing their usual routine or leaving their native viewer.

Key Differentiator: Explainable AI

Their AI is designed to be transparent, explaining its findings and providing reference cases, which helps radiologists understand the results and maintain autonomy in decision-making, avoiding a 'black box' approach.

Key Differentiator: Scientific Foundation

As a spin-off of the Medical University of Vienna, Contextflow is built on a strong scientific foundation with extensive peer-reviewed research and a team of leading AI and medical imaging experts.

Technology Stack

Utilizes deep learning-based medical device software and advanced machine learning algorithms for image analysis. Deployment is typically a hybrid solution, locally virtualized (e.g., virtual machine, Docker), with DICOM input/output and an interactive user interface/web application.

Physician Tip

For physicians, Contextflow's solutions offer significant advantages by enhancing diagnostic accuracy and efficiency. The comprehensive nature of ADVANCE Chest CT means you get support for multiple critical lung conditions (lung cancer, ILD, COPD, iPE) within a single, integrated tool, reducing the need for multiple specialized algorithms. Its seamless integration into your existing PACS/RIS workflow minimizes disruption, allowing you to access AI-powered insights directly in your native viewer. The explainable AI fosters trust by showing how results are derived, ensuring you remain in control of the final diagnosis. Features like nodule detection and tracking, malignancy scoring, and the TIMELINE view for longitudinal analysis aid in early detection, monitoring disease progression, and improving reporting quality. Ultimately, Contextflow aims to save radiologists' time, reduce workload, and increase diagnostic confidence, allowing more focus on high-quality patient care.

Contextflow solutions are designed for seamless integration into standard radiology reading environments (PACS/RIS). They currently have integrations with major PACS vendors including Agfa, Medigration, Philips, Sectra, Wellbeing, and Dedalus DeepUnity. Contextflow is also open to supporting new integrations to accommodate various provider systems.

At a glance

Founded 2016

HQ Margaretenstraße 70/2/8, Vienna, 1050, Austria · Austria

Team size 40+

CEO Markus Holzer

Funding Series B — $10.3M

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Products by Contextflow

1 product in the directory

Contextflow ADVANCE Chest CT

Contextflow

Oncology AI

Contact vendor for pricing information.

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Press & Coverage

contextflow (Press Release)

4DMedicalu2122 Expands into Europe with Acquisition of AI Lung Imaging Leader contextflow

4DMedical Limited has acquired contextflow GmbH, an Austria-based leader in AI-driven lung cancer detection and radiology workflow solutions, marking a major expansion into the European market. This acquisition provides 4DMedical with an immediate European commercial and clinical presence, an existing customer base, and a CE-marked product suite.

2026-06

IT Brief UK

Contextflow secures AI reimbursement deal with IKK Su00fcdwest

Contextflow is expected to secure Europe's first radiology AI reimbursement contract with German health insurer IKK Su00fcdwest, aiming to enhance early lung cancer detection using AI technology. This agreement, facilitated through the Healthy Hub initiative, establishes a per-exam fee for chest CT scans.

2024-11

contextflow (Press Release)

contextflow collaborates with VUNO and Mesalvo to advance cardiac arrest prediction solution

Contextflow has partnered with Korean imaging AI firm VUNO and German HIS provider Mesalvo to accelerate the launch of VUNO's AI-based cardiac arrest prediction solution, VUNO Medu2013DeepCARS, in Europe. Contextflow will support the regulatory and reimbursement strategy for DeepCARS.

2025-10

contextflow (Press Release)

contextflow and Kanbai Tech announce commercial partnership to bring comprehensive support for chest CT to healthcare providers

Contextflow and Kanbai Tech have announced a new distribution partnership to bring contextflow's AI-based medical device software, ADVANCE Chest CT, to Kanbai Tech's radiology network across Spain and Latin America. This collaboration aims to enhance diagnostic accuracy for lung cancer, ILD, COPD, and incidental pulmonary embolism.

2025-05

contextflow (Press Release)

contextflow approved for EIC Accelerator Equity Investment

Contextflow's application for the European Innovation Council (EIC) Accelerator equity investment program has been accepted, making it the only Austrian company selected in this funding round. This follows a u20ac1.2 Million EIC grant received in 2020, demonstrating the European Commission's commitment to supporting contextflow's innovation.

2023-06

contextflow (Media)

Clinical study on contextflow SEARCH Lung CT published in European Radiology shows 31% reading time savings

A clinical study published in the European Radiology Journal, in collaboration with the Medical University of Vienna, demonstrated a 31% reduction in reading time for chest CTs when contextflow SEARCH Lung CT was utilized.

2022-XX

Axis Imaging News

Wellbeing Software, contextflow Partner to Deliver AI Clinical Decision Support to Radiologists

Wellbeing Software has partnered with contextflow to integrate its AI-powered clinical decision support system, contextflow Search Lung CT, into Wellbeing Software's AI Connect Marketplace for radiologists in the U.K. This partnership aims to improve radiology workflows by providing quantitative and qualitative image analysis.

2021-09

contextflow (Press Release)

contextflow Secures EUR 6.7 Million Series A Investment

Contextflow announced a EUR 6.7 Million Series A funding round, including an additional EUR 2 Million from new and existing investors, bringing the total to one of Europe's largest healthtech Series A investments that year. The funds are earmarked for European and US market entry, FDA approval, and product expansion.

2021-09

Frequently Asked Questions

What specific AI solutions does Contextflow offer for chest CT analysis, and which conditions do they address?

Contextflow offers an AI Solution Suite, primarily featuring ADVANCE Chest CT, which provides comprehensive computer-aided detection support for lung cancer, ILD, and COPD. This includes high-quality lung nodule detection and tracking, quantitative/qualitative analysis of various image patterns, and 3D image search for 19 patterns. Additionally, they offer RevealAI-Lung for malignancy scoring via partner RevealDx and CINA-iPE for incidental pulmonary embolism detection through Avicenna.

How does Contextflow ensure the accuracy, reliability, and compliance of its AI algorithms for medical image analysis?

Contextflow ensures accuracy and reliability through deep learning-based medical device software that provides objective insights. Their ADVANCE Chest CT solution is CE Marked and MDR certified for Class IIa medical devices in the EU, and the company holds ISO 13485:2016 certification for its quality management system. They are also pursuing FDA approval for the US market.

Can Contextflow's AI solutions be integrated into our existing radiology workflow and PACS system, and what is the typical deployment model?

Yes, Contextflow's solutions are designed for seamless integration into existing radiology workflows and PACS/RIS systems, including partnerships with vendors like Agfa, Medigration, Philips, Sectra, and Wellbeing. The software is typically hosted within the hospital's network as a hybrid solution, often deployed as a virtual machine or Docker container, to comply with data security regulations like GDPR.

What is Contextflow's pricing model, and are there any reimbursement pathways available for their AI solutions?

Contextflow's pricing model is subscription-based, often calculated on a per-exam fee. Notably, Contextflow is the first radiology AI company in Europe to secure a reimbursement agreement, which is currently live in Germany with health insurer IKK Su00fcdwest. This model aims to reduce healthcare costs by facilitating earlier detection and reducing unnecessary procedures.

What kind of support and training does Contextflow provide to ensure successful implementation and ongoing use by physicians and administrators?

Contextflow offers comprehensive support, including 24/7 email support for all plans, with priority phone and chat support for Pro plan customers. They provide a dedicated customer success team for onboarding, training, and optimization of their solutions. Remote access via secured VPN and SSH is utilized for maintenance and technical support.

What are Contextflow's key partnerships, and how do they enhance the capabilities or market reach of their AI offerings?

Contextflow has strategic partnerships that expand its capabilities and market reach, such as with RevealDx for malignancy scoring and Avicenna for iPE detection. They also collaborate with companies like Wellbeing Software, Curagita, Kanbai Tech, Neologica, VUNO, and Mesalvo for distribution, PACS integration, and advancing other AI solutions in Europe. These partnerships enable broader access to their technology and integrate specialized features.

What is the current company stability and future outlook for Contextflow as an AI healthcare provider?

Contextflow, founded in 2016 as a spin-off of the Medical University of Vienna, demonstrates strong stability with a total funding of $10.3M over nine rounds, including a EUR 6.7 Million Series A investment in 2021. They are actively expanding their offerings, pursuing US market entry and FDA approval, and growing their team of 40+ employees, indicating a robust future outlook in AI for radiology.

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