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  • 2025-06-30

Building a Future-Ready Imaging Department: The Case for AI Platforms

Radiologist using the platform approach.

Radiology AI holds the promise of transforming imaging departments, but most hospitals are still stuck at the starting line. Healthcare systems want to adopt AI but simply don’t know how to start. Despite the growing interest, actual implementation remains near zero.

The problem? Fragmentation. Deploying even a single AI solution requires jumping through technical, clinical, legal, and operational hoops. Multiply that effort across vendors, and adoption grinds to a halt.

It is now widely established that the only scalable way forward is a platform approach, one that seamlessly navigates the complexities of discovery, validation, and deployment across multiple AI solutions.

Why Platforms Matter

Unlike single-point integrations, platforms like CARPL eliminate the “combinatorial explosion” of deploying multiple models. With a unified AI infrastructure, we help healthcare providers

In fact, we have seen customers unlock 5x-10x returns on their AI investments - not just by reducing radiologist workload, but through improved diagnostic accuracy leading to faster patient admission/discharge and additional revenue from downstream procedures.

The CARPL Advantage

From chest X-ray triage to stroke detection, musculoskeletal fracture analysis to volumetric reporting, CARPL enables hospitals to go live with validated, high-performing AI models within days, not months. Our platform offers:

Bottom line: If you’re serious about building a future-ready imaging department, you don’t need “more AI.” You need a platform that can make AI work - safely, scalably, and meaningfully.

CARPL isn’t just a tech layer; it’s the infrastructure for your AI-driven radiology future.

Unlock the potential of CARPL platform for optimizing radiology workflows

Talk to a Clinical Solutions Architect