As MONAI Celebrates Its Fifth Anniversary, It’s Witnessing the Convergence of Its Vision for Open Medical AI with Production-Ready Enterprise Solutions
MONAI Core v1.4: Advancing Open Medical AI
The latest release of MONAI Core features a range of new algorithmic capabilities as well as three foundation models that demonstrate the versatility and power of the MONAI framework.
Foundation Models: VISTA-3D, VISTA-2D, and MAISI
VISTA-3D is a specialized interactive foundation model that excels at annotating human anatomies from 3D CT images. Its two primary features are accurate out-of-the-box performance covering over 126 anatomy classes, and zero-shot ability to learn to segment novel structures with interactive annotation.
Enterprise-Ready NIM Microservices: VISTA-3D and MAISI
Building on the success of these open-source models, we’re excited to announce the general availability of VISTA-3D and MAISI as NVIDIA NIM microservices.
M3: The Future of Medical Visual Language Models
In parallel with our core development, we’re excited to share M3 (MONAI multi-modal model), a research initiative exploring the future of medical AI. This framework bridges the gap between visual understanding and natural language processing, demonstrating how foundation models can work together with specialized expert models.
Shaping the Next 5 Years of Medical AI
As you look toward MONAI’s future, you’ll see a few key directions driving our innovation. Each builds on the current momentum while pushing into new territories critical for the advancement of medical AI.
Expanding Clinical Impact
We’re focusing on bridging the gap between research and clinical deployment, working closely with MedTech partners to integrate MONAI capabilities into everyday medical workflows.
Multi-Modal Integration
The future of medical AI lies in combining multiple data streams, from medical imaging and electronic health records to real-time sensor data.
Real-Time Processing Evolution
Through integration with technologies like Holoscan SDK, we’re pushing the boundaries of real-time medical AI processing, enabling applications from surgical guidance to immediate diagnostic assistance.
Join Us in Building the Future
Together, we’re creating more than just software—we’re building an ecosystem where medical AI innovation thrives, benefiting researchers, clinicians, and patients worldwide.
Conclusion
As MONAI celebrates its fifth anniversary, we’re witnessing the convergence of our vision for open medical AI with production-ready enterprise solutions. With the release of MONAI Core v1.4, we’re expanding our open-source capabilities and making our foundation models available as enterprise-ready NIM microservices.
Frequently Asked Questions
Q: What is MONAI Core v1.4?
A: MONAI Core v1.4 is the latest release of MONAI, featuring new algorithmic capabilities and three foundation models that demonstrate the versatility and power of the MONAI framework.
Q: What are the foundation models in MONAI Core v1.4?
A: The foundation models in MONAI Core v1.4 are VISTA-3D, VISTA-2D, and MAISI.
Q: What is VISTA-3D?
A: VISTA-3D is a specialized interactive foundation model that excels at annotating human anatomies from 3D CT images.
Q: What is MAISI?
A: MAISI is a latent diffusion model that can create high-resolution 3D CT images up to 512 × 512 × 768 voxels, with voxel sizes ranging from 0.5mm to 5.0mm, and with user control of 10 body habitus classes complete with corresponding segmentation masks.
Q: What is M3?
A: M3 is a research initiative exploring the future of medical AI, a framework that bridges the gap between visual understanding and natural language processing.
Q: What is Holoscan SDK?
A: Holoscan SDK is an open-source foundation to MONAI Deploy, enabling MONAI models to be easily integrated into radiological workflows as well as into real-time surgical guidance and surgical robotics systems.
