deepc
Regulatory Status Disclosed
Overview
deepc offers deepcOS, an AI operating system designed for healthcare systems to integrate, deploy, and manage artificial intelligence workflows. The platform aims to connect existing clinical systems, such as EHR, PACS, and reporting systems, to various AI capabilities.
- What it does: deepcOS provides infrastructure for building, deploying, monitoring, and governing AI workflows across a health system. It standardizes how AI capabilities are packaged and deployed, allowing for the integration of commercial, in-house, and research AI tools. The system facilitates the transfer of de-identified imaging data to a cloud-based AI platform for analysis, with results returned to the radiologist.
- Who it is for: The platform is primarily for health systems, particularly radiology departments, and aims to support radiologists and other clinicians. It is designed for use in various care settings, including hospitals and imaging centers.
- How it fits a clinical or practice workflow: deepcOS integrates with existing radiology information systems (RIS) and Picture Archiving and Communication Systems (PACS), allowing AI insights to be accessed within current workflows. It aims to streamline the adoption of AI by providing a unified system for deploying multiple AI solutions from different vendors, reducing the need for separate applications or custom IT projects.
- Notable capabilities: deepcOS offers a single platform for unifying radiology AI workflows, including evaluation, deployment, monitoring, and building of AI solutions. It supports customizable workflows and provides centralized governance and monitoring for AI solutions. The platform also emphasizes secure data handling, ensuring patient information remains on-premises and is de-identified before cloud-based AI processing.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI orchestration platform
- Vendor-agnostic AI integration
- Workflow integration
- Data management for AI
- AI performance monitoring
- Scalable infrastructure
- Secure data handling
Use Cases
- Integrating multiple AI algorithms into radiology workflows
- Enhancing diagnostic accuracy with AI assistance
- Streamlining image analysis and reporting
- Optimizing resource allocation in imaging departments
- Facilitating research and development of new AI models
What Physicians Need to Know
Evidence Base
deepcOS is a comprehensive AI platform for radiology that integrates AI tools from multiple vendors. It provides access to over 70 regulatory-approved AI solutions. The platform aims to connect research innovation to sustained AI deployment in complex clinical workflows. deepc emphasizes an 'infrastructure-first approach' to connect best-in-class AI solutions within a unified, secure environment.
Clinical Validation Studies
deepc's platform facilitates the deployment and management of AI solutions that have undergone clinical validation. For instance, deepc has integrated Riverain Technologies' FDA-cleared and CE-marked ClearReadu2122 CT and ClearReadu2122 XR, which have studies showing improved nodule detection and reduced reading times. deepc also highlights research such as the 'Evaluation of commercial AI algorithms for the detection of fractures, effusions, and dislocations on real-world clinical data: A prospective registry study' and 'Implementing Artificial Intelligence for Emergency Radiology Impacts Physicians' Knowledge and Perception: A Prospective Pre- and Post-Analysis'. The company emphasizes the importance of cooperation between data scientists and radiologists in testing and evaluating AI applications.
Alert Fatigue Management
While deepc's platform integrates various AI solutions that may generate alerts, its core focus is on streamlining AI deployment and workflow integration rather than directly addressing alert fatigue within a proprietary CDS system. However, the broader concept of alert fatigue in healthcare is recognized as a significant challenge, often stemming from too many low-value or repetitive alerts. Effective alert fatigue management often involves prioritizing alerts, tailoring them to patient characteristics, and integrating them properly into workflows to reduce false positives and improve relevance.
Clinical Workflow Integration
deepcOS is designed for seamless integration with existing radiology systems, including EHR, PACS, and reporting systems. The platform aims to provide a single operational layer for deploying, orchestrating, and governing multi-vendor AI, allowing healthcare providers to scale AI across workflows without fragmentation. This integration minimizes disruption and maximizes usability, enabling customization of workflows to align with practice preferences and operational protocols. The goal is to integrate AI cleanly with existing systems to reduce the burden on clinical teams.
Decision Audit Trail
deepc's platform, deepcOS, provides an 'evidence trail' for AI workflows, supporting governance and monitoring. This aligns with the concept of AI audit trails, which are chronological, tamper-evident, context-rich ledgers of lifecycle events and decisions. Such audit trails are crucial for accountability, transparency, and regulatory compliance, allowing for the reconstruction of AI-assisted decisions for legal and regulatory review.
Physician Tip
For physicians utilizing deepc, focus on how the integrated AI solutions can act as a 'second reader' to enhance diagnostic accuracy and reduce missed findings, particularly in emergency radiology. Leverage the platform's ability to streamline repetitive tasks like image analysis and report generation to free up time for more complex interpretations and patient care. Engage with the AI to increase your knowledge about its capabilities and limitations, understanding that it serves as a supportive tool rather than a replacement for human expertise. Utilize the customizable workflows to adapt AI tools to your specific practice patterns and clinical scenarios for maximum efficiency and relevance.
deepcOS is designed as a vendor-neutral AI operating system that integrates with existing clinical systems such as EHR, PACS, and reporting systems through a single integration layer. This allows for the deployment and management of AI solutions from multiple vendors through a unified environment, standardizing how AI capabilities are packaged, deployed, monitored, and governed. Partnerships with companies like DeepTek and Cerebriu further enhance its integrated AI radiology platform and specialized AI tools for Brain MRI. The platform also emphasizes data security and compliance with regulations like GDPR and ISO 27001.
Details
| Category | Clinical Decision Support & Reference, Radiology & Imaging AI |
| Pricing |
Unknown
|
| Deployment | Cloud-based, integrates with existing hospital IT systems (PACS, Worklist, EHR, RCM). |
| Mobile App | None |
| API Available | Unknown |
| Data Export | Unknown |
| Languages | The deepcOS platform is designed to support various AI solutions, implying language neutrality for clinical use. The underlying development languages for deepC (a different project with a similar name) include C++, Fortran, Jupyter Notebook, Python, CMake, and C. |
| Target Size | Health systems and enterprise clinical organizations. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated Only selected medical devices available on deepcOS are regulatory cleared for use in the US under the FDA. The deepcOS AIDA (v2.1) product, including its worklist and DICOM viewer components, is classified as software as a medical device under the MDR and is CE-marked for use in the EU. |
| SOC 2 | Unknown AI-estimated |
| GDPR | Unknown AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiology, Neurology, Oncology, Radiology |
Social Proof
| Customers | unknown |
| Notable | Solothurn Hospital (Switzerland)Vivantes Hospital Group (Germany)LMU University Hospital (Germany)CHU Brugmann (Brugmann University HospitalBelgium)National Health Service (NHS) in England. |
What the Web Says
deepc offers deepcOS, a Radiology AI Operating System that helps healthcare institutions integrate, deploy, and monitor AI solutions for radiology workflows. It aims to bridge the gap between AI advancements and clinical practice by providing a unified platform for over 60 AI solutions from various vendors. The platform emphasizes data security, GDPR compliance, and seamless integration with existing hospital IT systems like PACS and EHRs.
Overall: PositiveStrengths
- Simplifies the evaluation, deployment, and monitoring of AI solutions in radiology.
- Integrates AI tools from multiple vendors into existing hospital IT systems with a single installation.
- Enhances radiologists' workflows by providing a unified interface and AI-driven diagnostics.
- Prioritizes data security, on-premises de-identification, encryption, cloud hosting, and GDPR compliance.
- Offers AI-based prioritization of urgent cases and customizable interfaces.
- Provides valuable feedback for resident training and helps speed up reporting.
Limitations
- Limited public reviews available on platforms like G2 and Capterra specifically for deepcOS.
- Some general AI platforms or medical scribes (not deepc) have been noted for slow data loading or lack of macOS support.
- Integrating AI into existing healthcare IT architecture can be a major obstacle, though deepc aims to solve this.
- The process of evaluating and assessing AI technologies can be time-consuming and resource-intensive without a unified platform.
- One physician noted initial difficulties with strict data security regulations and IT resource shortages when trying to implement AI solutions before using deepcOS.
Based on reviews from: Elion Health, G2, Vero, Capterra, Reddit, MarkTechPost, deepc.ai, Techjockey.com, MedTech World, YouTube (Artemed Clinic Munich South), openPR.com
Last updated: 2026-09-13
Ratings & Reviews
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Press & Coverage
deepc.ai
deepc Advances Healthcare AI with Enterprise Agentic AI Platform Offering
deepc has announced the next generation of deepcOSu00ae, an enterprise agentic AI infrastructure that unites healthcare data, AI, and clinical workflows into one intelligent ecosystem, aiming to overcome fragmented AI implementation in healthcare.
2026-08
FirstWord HEALTHTECH
deepc and University Hospital Basel Bring One of the World's Most Widely Used Open-Source Medical AI Tools into Enterprise Healthcare Operations
deepc and University Hospital Basel announced the integration of TotalSegmentator, a widely used open-source medical AI tool, into deepcOSu00ae, enabling research institutions to deploy and govern it for research within existing healthcare environments.
2026-06
Cortechs.ai
Cortechs.ai and deepc Announce Strategic Partnership to Advance AI Integration in Radiology
Cortechs.ai and deepc have partnered to integrate Cortechs.ai's portfolio of advanced medical imaging AI solutions, including NeuroQuantu00ae and OnQu2122 Prostate, into the deepcOSu00ae platform, making them available for broader access in global healthcare systems.
2025-06
deepc.ai
deepc closes Series A extension to accelerate global deployment of healthcare AI, bringing total funding to $30m
deepc announced the closure of its Series A with a $13 million extension round, bringing its total funding to $30 million, co-led by Sofinnova Partners and Bertelsmann Investments, to accelerate growth and international expansion of its deepcOSu00ae platform.
2024-07
deepc.ai
deepc Acquires Osimis Platform: Strengthening the AI Infrastructure for Radiology at Scale
deepc has acquired the Osimis Platform, a medical imaging software solution, to strengthen its AI infrastructure for radiology, enhance its product offering, and expand its technological capabilities and market presence in Europe.
2024-02
Archives of Orthopaedic and Trauma Surgery
Diagnostic power of ChatGPT 4 in distal radius fracture detection through wrist radiographs.
A study published in Archives of Orthopaedic and Trauma Surgery investigated the diagnostic power of ChatGPT 4 for detecting distal radius fractures on wrist radiographs.
2024-05
deepc.ai
Digital Medicine pioneer, deepc, announces u20ac12 million Series A round led by Sofinnova Partners
deepc secured a u20ac12 million Series A funding round led by Sofinnova Partners, with participation from Bertelsmann Investments and Winning Mindset Ventures, to develop new features and expand the commercialization of its deepcOSu00ae operating system.
2023-03
deepc.ai
Implementing Artificial Intelligence for Emergency Radiology Impacts Physiciansu2019 Knowledge and Perception: A Prospective Pre- and Post-Analysis
A study conducted by the Department of Radiology at University Hospital LMU in Munich, Germany, evaluated the impact of integrating an AI solution for emergency radiology via deepcOS, showing promising results in increasing physician safety and reducing missed findings.
2023-11
Videos
Product demos, reviews, and walkthroughs for deepc.
Shottyi - DeepC ft. KIMKID | @AlittleBeatOfDeepC
KIMKID
deepc
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DeepC x ROFK u2013 (u0d85u0dc0u0dd0u0dc3u0dd2) awasi | Sinhala Rap 2026 (Prod. by KaalaH)
DeepC
deepc - The Radiology AI Platform
deepc GmbH
From Idea to Implementation Navigating the AI Development Journey in Healthcare
deepc GmbH
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Frequently Asked Questions
deepc is designed for seamless integration with your existing Picture Archiving and Communication Systems (PACS) and Electronic Medical Record (EMR) systems. It typically operates in the background, analyzing imaging studies as they are acquired and presenting its findings within your familiar viewing environment, often through a dedicated viewer or directly within your PACS/EMR interface.
deepc's AI algorithms are built upon extensive datasets and undergo rigorous validation to demonstrate clinical efficacy. The company emphasizes its commitment to regulatory compliance, holding necessary certifications such as CE marking under the Medical Device Regulation (MDR) in Europe and pursuing FDA clearance in the United States, ensuring the safety and performance of its solutions.
While powerful, deepc's AI, like all AI, may have limitations related to the diversity of its training data or the interpretability of certain findings. deepc addresses these by continuously updating and validating its algorithms, providing clear explanations of AI-generated insights, and emphasizing that the AI is a decision support tool, not a replacement for physician judgment.
deepc prioritizes data privacy and security through robust encryption protocols, anonymization techniques, and adherence to international data protection regulations like GDPR and HIPAA. They implement stringent access controls and security measures to safeguard sensitive patient information throughout the entire data lifecycle.
deepc typically offers various pricing models that can be tailored to the size and needs of a healthcare institution. These often include subscription-based models, potentially with different tiers based on usage volume, specific modules, or desired levels of support. Specific pricing details are usually discussed directly with their sales team to provide a customized quote.
deepc differentiates itself through its comprehensive platform approach, aiming to cover a broad spectrum of medical imaging specialties and conditions, rather than focusing on a single use case. Its emphasis on seamless integration, regulatory compliance, and continuous algorithm improvement are key comparative advantages.
deepc provides comprehensive training programs for physicians and their clinical teams to ensure effective adoption and utilization of their platform. This typically includes onboarding sessions, educational materials, and ongoing technical support to address any questions or issues that may arise during use.
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| Last Verified: 2026-07-03 | First Added: 2026-06-14
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