Ted Hisokawa
December 6, 2024 07:14
Celebrating its fifth anniversary, MONAI is unveiling significant advancements in open healthcare AI and enterprise solutions, including the release of MONAI Core v1.4 and new NVIDIA NIM microservices.
MONAI, the leading platform for healthcare AI, celebrated its fifth anniversary by showcasing breakthroughs in open science and enterprise AI solutions. According to NVIDIA, this milestone highlights the platform’s ongoing commitment to innovation in medical imaging and artificial intelligence.
Major developments and releases
The anniversary announcement introduces two major developments: the release of MONAI Core v1.4 and the release of NVIDIA NIM microservices in VISTA-3D and MAISI. This release highlights MONAI’s commitment to enhancing research and clinical applications of medical AI.
MONAI Core v1.4 expands open source capabilities with new algorithmic features and underlying models: VISTA-3D, VISTA-2D, and MAISI. These models demonstrate the versatility of the framework and are designed to significantly improve medical imaging processes.
Enterprise AI Solutions
In addition to open source advancements, MONAI is making progress in enterprise AI by introducing VISTA-3D and MAISI as NVIDIA NIM microservices. These production-ready solutions provide GPU-accelerated inference optimized for deployment across a variety of infrastructures. With features like industry-standard APIs and enterprise-grade security, these solutions are ready to integrate seamlessly into existing healthcare workflows.
Collaborate with the community
MONAI’s journey began as a collaboration between NVIDIA and King’s College London and has grown into a global ecosystem supported by organizations such as GSK and Bristol Myers Squibb. The platform has had over 3.5 million downloads and over 1,000 published papers, indicating its widespread impact on the medical AI community.
The recent MONAI Days event, co-hosted with MICCAI Society, further demonstrated the platform’s community-focused ethos. It included presentations on new developments and contributions from various researchers, highlighting the collaborative nature of the MONAI ecosystem.
future direction
Going forward, MONAI aims to expand clinical impact by bridging the gap between research and real-world applications. We plan to enhance multimodal integration by combining data streams such as medical imaging and electronic health records. MONAI is also exploring real-time processing capabilities to support applications such as surgical guidance and diagnostic support.
As MONAI continues to evolve, we are focused on building an ecosystem that fosters medical AI innovation and benefits researchers, clinicians, and patients around the world.
Image source: Shutterstock