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Deepc Achieves MONAI Compatibility, Demonstrating its Dedication to Open-Source Collaboration and Global Healthcare Transformation


deepc, a prominent MedTech company, has strategically aligned with MONAI (Medical Open Network for Artificial Intelligence), an open-source framework co-founded by NVIDIA and King’s College London. MONAI focuses on advancing healthcare through medical imaging, and with 1.75 million downloads, it stands as a recognized standard in medical imaging AI development. By ensuring MONAI compatibility on its deepcOS platform, deepc underscores its commitment to open-source AI, interoperability, and global AI development standards.

MONAI, supported by institutions such as King’s College London, NIH, and the Mayo Clinic, introduced MONAI Application Packages (MAPs) to streamline AI model packaging and enhance interoperability. deepcOS’ compatibility with MAPs is expected to unlock new AI development capabilities, speeding up the translation of AI into clinical practice.

In addition to ensuring compatibility, deepc has joined the MONAI Deploy working group, actively contributing to shaping standards for medical imaging AI. This move positions deepc as a strategic partner for university hospitals engaged in medical AI research, providing crucial support in both AI development and deployment.

Dr. Franz Pfister, co-founder and CEO of deepc, expresses enthusiasm about joining the MONAI community, stating that MONAI compatibility strengthens their ability to transform the healthcare industry, making AI development and deployment more accessible and efficient. The goal is to drive innovation in medical AI, foster collaboration in the development community, and ultimately improve patient care and hospital operations globally.

David Bericat, product manager for healthcare at NVIDIA and co-founding cooperator of Project MONAI, notes that deepc’s embrace of MONAI standards will contribute to making the future of medical imaging AI more accessible and robust.

King’s College London, the academic founder of MONAI, welcomes deepc to the initiative, emphasizing their dedication to fostering research support and collaboration within the medical AI community. Prof Sebastien Ourselin, Head of School of Biomedical Engineering & Imaging Sciences at King’s College London, highlights that deepc’s adoption of MONAI compatibility on deepcOS empowers researchers to accelerate innovation and share results, fostering collaboration across academic and industry endeavors.

As part of its strategic focus to enable safe AI in clinical workflows, deepc plans to showcase its platform’s end-to-end capabilities during its presentation of The United State of AI at RSNA 2023.

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