Aidoc Teams Up With NVIDIA MONAI to Scale Deployment of Open-Source Clinical AI

The move enables health systems to operationalize internally developed and open-source models built on MONAI directly within routine workflows.

Aidoc has expanded its aiOS (AI Operating System) through a collaboration with NVIDIA MONAI and a new partnership with Quibim, aiming to address the long-standing “last mile” challenge in deploying imaging AI across clinical environments.

The move enables health systems to operationalize internally developed and open-source models built on MONAI directly within routine workflows.

Health systems and academic centers are increasingly designing their own imaging AI tools tailored to local patient populations. However, many of these models remain confined to research settings due to deployment barriers such as multi-site scaling, system integrations, and clinical governance. Aidoc’s expanded aiOS seeks to bridge this gap by providing an operating layer capable of orchestrating, monitoring, and governing both commercial and homegrown AI models.

At the core of the expansion is Aidoc’s new collaboration with NVIDIA MONAI, the widely adopted open-source framework for medical imaging AI. The integration allows organizations to connect MONAI-based models—whether internally developed or sourced from MONAI’s Model Zoo—into the aiOS through a dedicated API. This removes the need to build separate deployment infrastructure, security layers, or EMR integrations for each model.

“Our goal is safe, real-world clinical AI at scale,” said Tom Valent, Chief Business Officer of Aidoc. “NVIDIA’s investment in MONAI has created a global open-source community for AI development. Aidoc contributes the complementary piece: one open, clinical-grade API and an operating layer that make those models deployable and dependable in real care settings.”

In parallel with the open-source initiative, Aidoc has strengthened its commercial AI portfolio by partnering with Quibim to introduce a Prostate MRI AI solution. The offering extends Aidoc’s coverage across five imaging modalities, including X-ray, CT, MRI, mammography, and echocardiography.

Quibim’s QP-Prostate solution supports key steps in prostate cancer detection workflows. The tool assesses PI-RADS v2.1 compliance, evaluates image quality using PI-QUAL v2 criteria, segments the prostate gland, and highlights suspicious regions. It also generates a PI-RADS-compliant structured report that integrates AI findings alongside radiologist annotations.

“Our collaboration with Aidoc reflects a shared commitment to advancing precision imaging and embedding powerful AI technologies into clinical workflows,” said Nathan Clark, Chief Commercial Officer of Quibim.

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