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At-scale AI Deployment

Enterprise AI Adoption

CARPL's universal AI viewer provides a comprehensive, user-friendly interface for viewing, editing, and annotating any AI output.

It is infrastructure agnostic and can be deployed on-premise or on the cloud with any cloud vendor. CARPL streamlines radiology workflow through standardized protocols, flexible APIs, and single access point convenience, ensuring seamless data management.

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User Perspectives

Smarter Integrations

Testimonials

Sham Sokka, PhD

Establishing a robust AI infrastructure with monitoring tools is key for safe, effective, and scalable AI adoption in radiology. While the current landscape is marked by an overwhelming array of AI-enabled point solutions, the future involves running multiple AI models, even for a single use case. DeepHealth’s partnership with CARPL.ai addresses this very need by creating a unique environment to dynamically run a combination of models and monitor performance and then continuously optimize the best models for specific tasks.

Sham Sokka, PhD

Chief Operating and Technology Officer, DeepHealth

Daniella Bahia

Fleury has been using CARPL since a few years to test AI solutions for mammography, stroke and pulmonary embolisms. We are very impressed with their ability to cater to the needs of a large radiology practice such as ours. We are especially impressed by the quality of their team who is always ready to address all our queries quickly and efficiently. We wish them all the best.

Daniella Bahia

Medical Operation Director,Fleury

Kevin Terrins

Medica is a happy user of CARPL’s AI platform. We use them extensively for AI validation and deployment, and are especially impressed by their ability to scale to the volumes that we cater to. Not only are we using applications from their marketplace, we are also deploying AI solutions where we had direct independent relationships. Their flexibility and clinical approach positions them uniquely in the evolving radiology landscape.

Kevin Terrins

Group Director of Corporate Development , Medica Group

Gary Shepherd

Qscan is extremely impressed by CARPL’s AI platform. Their unique approach that allows us to validate AI algorithms before using them through a single customised viewer that is deeply integrated with PACS is very valuable, We are currently using CARPL for the Lung Cancer Screening program and are seeing exponentially better radiologist productivity and outcomes.

Gary Shepherd

Chief Executive Officer , Qscan

Ron Shnier

I-MED has been working with CARPL since many years and has used their platform to validate several different AI applications. Their integration into our RIS and PACS allows us to validate, deploy and monitor the world’s best AI solutions without much effort and cost. We highly recommend them to radiologists globally.

Ron Shnier

Chief Medical Officer , I-Med

Bruno Rocha, MD

Choosing the right AI solution was our biggest challenge. Many vendors promise monitoring capabilities, but transparency is often lacking. Calculating ROI was also difficult. CARPL helped us test and compare different AI options, leading to a well-informed and confident purchase decision.

While implementation success depends on the tool itself, pre-purchase testing and monitoring are crucial. CARPL excels in these areas, making it a very promising platform. Its value lies in guiding purchase decisions and ongoing monitoring. Ideally, CARPL would become an extension of our practice. The partnership with Philips is exciting, as it could be a perfect fit for Philips customers like us.

Bruno Rocha, MD

Medical Innovation Coordinator, Fleury

Howard G. Berger, MD

We at RadNet and DeepHealth were impressed by both, CARPL's technological and clinical prowess, which made us choose them as our AI platform partner. We are excited to work with them to accelerate the adoption of AI in radiology practices in the US and across the globe.

Howard G. Berger, MD

President and Chief Executive Officer, RadNet

Alvin Soon, MD

AI pilots can be resource-intensive and expensive, from the decision to pilot through to setting up the necessary AI infrastructure. CARPL has been an exceptional partner in simplifying this process for us at Tan Tock Seng Hospital. Their system enabled us to validate multiple AI algorithms on a single platform, including chest X-ray AI and thyroid AI. CARPL's extensive AI marketplace covers most of our use cases, and their testing module easily generates performance summaries and key metrics like AUC. This has made our validation process both efficient and cost-effective. Their support has been invaluable, and we look forward to advancing our AI projects together.

Alvin Soon, MD

Head and Neck Radiologist, Tan Tock Seng Hospital

Madhuri Sebastian

The integration of AI results into PACS will increase workflow efficiency and potentially reduce turnaround times for thoracic care. This empowers healthcare providers to make timely and informed decisions, thereby optimizing patient throughput. Thoracic treatment is just the starting point; we are committed to expanding this collaboration to encompass other clinical use cases.

Madhuri Sebastian

Business Lead for Radiology Informatics, Philips

Osvaldo Landi Júnior, MD

CARPL’s visionary platform is a one-stop solution for all AI innovation requirements. Over the last few years, we have been able to access and test AI solutions on CARPL platform catering to specific clinical and operational needs and have leveraged it for clinical deployment of AI solution as well.

Osvaldo Landi Júnior, MD

Medical Innovation and Data Manager, FIDI

Charlene Liew, MD

Using a validation platform such as CARPL will help to speed up the deployment of AI models into mainstream use, as well as enable the value of AI to be realized.

Charlene Liew, MD

Co-Chair, AI and Digital Committee, Changi General Hospital | Deputy Chief Medical Informatics Officer, Changi General Hospital | Director of Innovation, RADSC ACP, SingHealth

Leonardo Kayat Bittencourt, MD

The recent statement on AI by the world's top radiology associations emphasizes the fact that there should be close collaboration between the developers and users of AI. It also brings to light the importance of validation, deployment and monitoring of AI while being used in clinical practice. I am happy that at RADICLE we already use CARPL for AI testing, deployment and monitoring which ensures that not only do we stick to these recommendations, but also go beyond them.

Leonardo Kayat Bittencourt, MD

Director of RADICLE and vice-chair of innovation, University Hospitals Department of Radiology

Gilberto Szarf, MD

Not only is the CARPL platform a game changer for the adoption of Al in radiology, the CARPL team is also a pleasure to work with. Their technical and clinical prowess, combined with the fact that they are able to bring all the Al companies across the world onto the same platform, gives us confidence and allows us to keep expanding our work together.

Gilberto Szarf, MD

Medical Manager, HIAE

Navid Faraji, MD

We are ecstatic to have clinically implemented AZmed's Rayvolve fracture detection tool through CARPL in our institution. The CARPL team has been extremely helpful, working with our team every step of the way to get this up and running. Further, our radiologists are excited to provide the best care possible for our patients with the integration of AI tools through CARPL.

Navid Faraji, MD

MSK radiology attending and associate program director of radiology residency, University Hospitals, Cleveland

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Frequently Asked Questions

1. For Healthcare Providers

1.1 Clinical Questions

CARPL's AI Marketplace includes 300+ applications across 100+ AI partners. You can filter by modality, specialty, use case, and regulatory status. If you'd prefer a guided approach, request a walkthrough and we'll shortlist the right options with you.

The marketplace guide is a good place to start - it lists 300+ AI applications by body part, modality, and use case. If you want a more tailored shortlist, request a walkthrough and our clinical solutions architect will guide you based on your workflow and use case.

Yes. CARPL is designed to integrate with your existing PACS, RIS, and EMR without major infrastructure changes or workflow disruption. We're also partnered with leading PACS providers including Intelerad, Philips, AGFA, RamSoft, and Paxera, among others.

You can test AI tools on your own anonymized data using CARPL's validation module. It supports benchmarking with key metrics like sensitivity, specificity, true/false positives, and true/false negatives, and lets you compare performance before moving to clinical deployment. Learn more here: https://carpl.ai/blogs/pre-deployment-validation-of-radiology-ai-how-carpl-makes-it-simple.

Yes. CARPL hosts 300+ AI applications across 100+ AI partners. You can filter by regulatory clearances (e.g., FDA, CE) and then evaluate performance on your own data pre-deployment, so you're not relying on marketing claims alone.

Yes, depending on the AI you choose. CARPL supports automated radiology solutions for auto-populated reporting, urgency detection, structured templates, and triage assistance.

CARPL's clinical solutions architects help measure ROI through our COF (Clinical, Operational, Financial) framework, tracking accuracy, efficiency, and financial impact.

Yes. CARPL is HIPAA and GDPR compliant and certified with SOC 2, ISO 27001, and ISO 13485. The platform also supports global regulatory requirements, including FDA clearance, CE marking, HSA (Singapore), TGA (Australia), and ANVISA (Brazil).

1.2 Deployment & Integration

Every imaging practice is different. CARPL helps you choose the AI that works best for your institution and patient population. CARPL gives you access to the largest marketplace of 300+ AI applications from 100+ AI partners. Our Discover, Explore, Validate, Deploy framework helps you select the right AI and validate it on your local data before deployment.

Anyone working in the imaging ecosystem - enterprise providers, imaging centers, radiologists, and AI developers. CARPL exists to democratize access to healthcare AI and make adoption practical at scale.

CARPL supports on-premise, cloud, and hybrid deployments. We adapt the setup to your infrastructure, security needs, and compliance requirements.

Absolutely. We'll help you define the right evaluation approach so you can assess AI performance, value, and outcomes before clinical deployment.

We provide a "bias and fairness" report based on the industry standard Aequitas framework alongside AI performance reporting, so you can assess outcomes and risks before going live.

Typical deployments take 2-4 weeks, depending on your environment and the scope of AI being enabled.

Yes. With CARPL's single integration pipeline, you can switch AI tools without disrupting your existing workflow.

We offer 24/7 remote support, region-specific onsite support, and dedicated customer success coverage.

CARPL supports HL7, DICOM, FHIR, REST APIs, and Docker-based deployments.

We use AES256 encryption, RBAC, secure protocols (HTTPS/TLS 1.3), and regular audits. CARPL is also certified with ISO 27001 and ISO 13485.

CARPL follows institutional and DICOM standards to ensure complete de-identification of imaging data.

Yes. Data retention policies are configurable to meet your institutional and legal requirements.

Yes. The platform includes real-time performance dashboards, workflow analytics, and clinical performance reporting.

Yes. We offer backup and recovery options tailored for healthcare-grade reliability, especially for cloud and hybrid deployments.

Yes. You can build your AI, test it against third-party commercial AI, and deploy it, through one platform. CARPL supports integrations with tools like JupyterLabs and AWS SageMaker for training and iteration on anonymized production data. Learn more here: https://carpl.ai/marketplace/build-and-bring-your-own-ai-using-carpl.

1.3 AI Evaluation & Insights

CARPL provides interactive evaluation tools including confusion matrices, true/false positive/negative visualizations, AUC-ROC curves, sensitivity and specificity metrics, plus bias and fairness reporting.

Yes. You can run head-to-head evaluations using the same dataset for fair comparison, with tools like confusion matrices, FP/FN visualizations, AUC-ROC, sensitivity/specificity, and bias and fairness reporting to support choosing the best AI for your local patient population.

CARPL supports continuous monitoring post-deployment. Learn more about the monitoring module here: https://carpl.ai/blogs/monitoring-radiology-ai-performance-over-time.

CARPL integrates with no/low code platforms like AWS SageMaker and JupyterLabs, and foundational AI models like HOPPR, allowing you to send back corrected AI outputs to retrain/fine tune the AI models. In a real clinical deployment of a regulatory approved AI algorithm, retraining on the fly is not allowed.

Yes. CARPL supports multi-site and multi-PACS deployments.

CARPL provides audit trails, compliance documentation, and support for certification and audit-related processes.

2. For AI Developers

CARPL supports models built on DICOM, HL7, FHIR, Single Shot Docker, and REST APIs. CARPL is model-agnostic and provides developer SDKs and testing tools.

Yes. We help AI companies connect with hospitals for validation, pilots, and scale-up across regions including the US, UK, Europe, Brazil, Singapore, Australia, Middle East, Hong Kong, and Thailand, among others.

Absolutely. Whether you're looking to validate, scale, or go-to-market faster through our network of radiology groups, healthcare providers, and academic medical centers, we'd like to explore a partnership with you.

We support real-time feedback loops, error logging, and cohort analysis to help you optimize models continuously.

CARPL supports standard output formats including structured reports (SR), SCs, ROIs, PDFs, GSPS, and native viewer outputs.

3. For Enterprise Partners

CARPL helps healthcare providers in your PACS environment "turn on" AI with a plug-and-play platform and access to 300+ AI applications from 100+ AI partners.

We support three options:

  • DICOM routing: Process AI results externally and return structured output
  • Viewer integration: Launch CARPL's AI viewer from within your PACS
  • Widget embed: Add CARPL's widget directly into your interface

Yes. Outputs can be prioritized, used to auto-fill reports, and formatted as SR, PDF, or viewer overlays.

CARPL is a vendor-neutral, end-to-end platform that supports discovery, validation, deployment, and monitoring, backed by a global hospital network and enterprise-grade compliance with global regulatory clearances.

Yes. You can upsell, retain, or re-engage clients by offering AI-based value without major product or delivery overhead.

Yes. CARPL is HIPAA and GDPR compliant and certified with SOC 2, ISO 27001, and ISO 13485. The platform also supports global regulatory requirements, including FDA clearance, CE marking, HSA (Singapore), TGA (Australia), and ANVISA (Brazil).

We support major healthcare standards and enable real-time access across multi-PACS environments, with configurable outputs.

You get granular logs, real-time model monitoring, and performance dashboards across the AI workflow.

Post-deployment, we provide ongoing support through updates, performance checks, compliance reviews, and training.

We'd love to work with you to improve patient outcomes across the world. Reach out to us and we'll explore opportunities to collaborate.

Unlock the potential of CARPL platform for optimizing radiology workflows

Talk to a Clinical Solutions Architect