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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

Our Ecosystem

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Testimonials

If you are going to use an AI application, you have to validate it on your data and your workflow. We have been working with CARPL to do that and it has been of great help. We have been doing head-to-head competitions where you have one AI application working against another 2 or 3 or however many you want, and in those comparisons, they're basically competing against each other. So instead of creating a true data-set, what we can do is just see any time one AI says something different than the other, making it much more efficient to utilize.We've seen it reduces ground truthing effort by about 80% which is phenomenal and allows validation at scale.

Nina Kottler, MD

Associate Chief Medical Officer, Clinical AI, Radiology Partners

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

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

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

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

The process was made so efficient, that it took me only 20-35 seconds to ground-truth a study.

Kent Hutson, MD

Director of Innovation Clinical Operations, Radiology Partners

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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Unlock the potential of CARPL platform for optimizing radiology workflows

Talk to a Clinical Solutions Architect