São Paulo, Brazil – May 4, 2024 – CARPL.ai, an enterprise imaging AI platform for testing, deployment, and monitoring of radiology AI solutions, has partnered with Philips to optimize the radiology reading capabilities in the Brazilian healthcare system. This collaboration was showcased at the 54th Jornada Paulista de Radiologia (JPR) conference, addressing the growing need for efficient and accurate radiology services amidst a shortage of radiologists in the country.
A critical challenge facing healthcare is the widening gap between the growing demand for radiology services and the limited availability of radiologists. This shortage leads to longer wait times and delays in patient treatment [1]. Traditional radiology workflows haven't kept pace with the rapid advancements in imaging technology, creating a bottleneck that strains healthcare systems. Clinicians urgently need solutions that streamline workflows, ensure consistency in diagnosis, and expedite the entire process – ultimately leading to faster and more effective patient care. These improvements not only benefit patient outcomes but also alleviate the pressure on overburdened healthcare systems, contributing to the Quadruple Aim of improved healthcare – improved patient experience through faster diagnoses and reduced wait times, better population health outcomes, reduced healthcare costs due to earlier interventions, and enhanced provider experience by alleviating workload and fatigue.
The seamless integration of CARPL.ai's industry-leading AI orchestration platform with Philips' world-renowned Enterprise Imaging Solution (Vue PACS) empowers radiologists with direct access to a powerful suite of AI algorithms within their standard diagnostic workflow. The platform serves as a central hub for managing medical imaging data, offering enhanced reporting, eliminating the need for additional software or disruptive changes, and allowing radiologists to view radiology images with AI-generated insights facilitating a more efficient and informed diagnostic process.
This is already proving its value in chest X-ray analysis, where AI algorithms pre-identify areas of concern on the images, allowing for faster identification and potential diagnosis. This feature helps radiologists expedite interpretation and potentially reduce turnaround times for thoracic care.
"The integration of AI results into PACS will increase workflow efficiency and potentially reduce turnaround times for thoracic care," said Madhuri Sebastian, Business Lead for Radiology Informatics at Philips. "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."
"By harnessing the power of multiple AI algorithms on CARPL, through a single integration, physicians at FIDI (Fundação Instituto de Pesquisa e Estudo de Diagnóstico por Imagem) are witnessing a paradigm shift in the quality and efficiency of radiology reporting, improving patients' clinical outcomes and lowering the cost of care," said Vidur Mahajan, Chief Executive Officer of CARPL.ai.
CARPL.ai envisions a future where the platform creates "super-radiologists" – AI-enabled radiologists who are ten times more productive than traditional radiologists. This collaboration with Philips complements CARPL.ai's existing partnerships with renowned institutions like Hospital Israelita Albert Einstein (HIAE), Grupo Fleury, and Diagnósticos Da América (DASA). By simplifying AI adoption in radiology, CARPL.ai empowers healthcare providers across Brazil to test, deploy, and monitor radiology AI applications. This translates to faster diagnosis, more informed treatment decisions, and ultimately improved patient outcomes.
About CARPL.ai
CARPL.ai is a vendor-neutral Artificial Intelligence (AI) platform that allows radiologists to access, assess, and integrate radiology AI solutions in their clinical practice. CARPL provides a single user interface, a single data channel, and a single procurement channel for the testing, deployment, and monitoring of AI solutions in clinical radiology workflows. We are the world’s largest radiology AI marketplace offering 110+ applications from 50+ AI vendors.
[1] Radiology Leadership Coalition. Statement on the Value of Artificial Intelligence in Radiology (https://appliedradiology.com/Articles/why-radiologists-are-key-to-maximizing-ai-s-potential-in-healthcare).
