NEW YORK, DECEMBER 2, 2025 – Aidoc, the global leader in clinical AI, today announced an expansion of its clinical AI ecosystem to help health systems deploy homegrown imaging AI models built with NVIDIA MONAI into routine clinical use at scale. While many health systems are focused on the rollout of proven vendor solutions, some hospitals and academic centers also have internally developed AI models that remain stranded. Aidoc is addressing both needs through two partnerships delivered on Aidoc aiOS™ (AI Operating System): a first-of-its-kind collaboration with NVIDIA MONAI to operationalize MONAI-based homegrown and open-source models, and a new partnership with Quibim to add best-in-class Prostate MRI AI.

Demand for imaging AI continues to climb. Health systems are adopting more vendor solutions, and leading hospitals and academic centers are increasingly developing their own models tailored to local populations and priorities. Yet the biggest barrier remains the last mile: not training models but deploying them effectively in clinical workflows and scaling them across sites and modalities.

Aidoc aiOS™ makes imaging AI deployable and scalable in clinical practice. It’s used in more than 1,600 hospitals, spans five modalities and integrates with all major EMRs, providing orchestration, monitoring and governance so results show up reliably in existing workflows.
Through the Aidoc-MONAI partnership, health systems, academic labs and research teams can connect MONAI-based models, including those from MONAI’s Model Zoo and internal labs, directly into aiOS through one dedicated Aidoc API. MONAI is the world’s leading open-source framework for medical imaging AI, with nearly 500,000 downloads per month. This creates a standardized path from development to real clinical workflows without each organization rebuilding infrastructure, monitoring, security or integrations from scratch[1].

NVIDIA and Aidoc share a vision for a thriving clinical AI ecosystem where innovation — open-source, homegrown, or commercial — reaches patients faster. 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.

“Our goal is safe, real-world clinical AI at scale,” said Tom Valent, Chief Business Officer of Aidoc. “Health systems are deploying vendor AI today, and many are also building homegrown AI. In both cases, they need aiOS - an operating system physicians can trust - to turn models into reliable clinical workflows. By bringing MONAI-based models and Quibim’s Prostate MRI AI onto aiOS, teams can move from training to clinical impact without reinventing deployment each time.”

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