deepc Establishes MONAI Compatibility, Strengthening Its Commitment to Open-Source Collaboration and Global Healthcare Transformation

• deepc announces its strategic alignment, compatibility, and commitment towards MONAI.
• MONAI is a community-driven, open-source framework co-founded by NVIDIA and King’s College London.
• By establishing MONAI compatibility and interoperability on its platform, deepcOS, positions itself as a contributor within the global AI development community.

deepc, a leading MedTech company in radiology AI, has announced its strategic alignment, compatibility, and commitment towards MONAI, the Medical Open Network for Artificial Intelligence. MONAI is a community-driven, open-source framework co-founded by NVIDIA and King’s College London that has expanded to a consortium of 16 world-leading institutions aiming to advance healthcare through medical imaging. By establishing MONAI compatibility and interoperability on its platform, deepcOS, deepc not only underlines its commitment to open-source AI development, interoperability with open standards, and research community support, but also positions itself as a contributor within the global AI development community to drive progress in AI innovation, helping further define AI development standards. 

MONAI has gained widespread recognition as a standard within the medical imaging AI development community, achieving about 1.75 million downloads to date. MONAI was developed and sustained by the medical imaging community with key support from esteemed research institutions like King’s College London, the NIH National Cancer Institute, and the Mayo Clinic. One of its key contributions to date is the MONAI Application Package (MAPs) specification, designed to offer a streamlined approach for packaging AI models, enabling their seamless deployment within existing healthcare infrastructures and standards for medical imaging interoperability. deepcOS’ MAPs compatibility will unlock new AI development capabilities on the platform, accelerating the translation of AI research into clinical practice.

deepc also joins the MONAI Deploy working group to actively contribute to and shape the current standards for medical imaging AI applications. As a member, deepc will share its domain expertise and experience to contribute to the ongoing refinement of best practices and guidelines for the integration of AI technologies in the healthcare industry. With this commitment to MONAI, deepc establishes itself as a strategic partner for university hospitals engaged in medical AI research, reinforcing its role as a first line of support for healthcare institutions seeking assistance in AI development and deployment. 

“We are thrilled to join the MONAI community and contribute to the advancement of open-source, cutting-edge healthcare solutions,” says Dr. Franz Pfister, co-founder and CEO at deepc. “MONAI compatibility will strengthen our ability to transform the healthcare industry, making AI development and deployment more accessible and efficient. We are committed to driving innovation in medical AI, fostering collaboration in the development community, and ultimately improving patient care and hospital operations worldwide.” 

David Bericat, product manager for healthcare at NVIDIA and co-founding cooperator of Project MONAI, shares, “The MONAI framework was created to establish best practices and foster open-source AI collaboration for healthcare researchers in medical imaging. deepc’s embrace of MONAI standards will help make the future of medical imaging AI more accessible and robust.”

As the academic founder of MONAI, King’s College London welcomes deepc to the initiative. “deepc’s contribution to MONAI underscores their dedication to fostering research support and collaboration within the medical AI community, diversifying key industry engagement with MONAI. By adopting MONAI compatibility on deepcOS, deepc empowers researchers to accelerate innovation, share results, and unite common goals across academic and industry endeavors” adds Prof Sebastien Ourselin FREng FMedSci, Head of School of Biomedical Engineering & Imaging Sciences, King’s College London.

As part of its strategic focus to fully enable safe and optimized AI in clinical workflows, from evaluation and deployment to monitoring, deepc is pleased to additionally empower medical researchers in their development and production of AI models. deepc plans to showcase its platform's end-to-end capabilities during its presentation of The United State of AI at RSNA 2023.