Minisymposium Presentation

The rapid growth and complexity of medical data necessitate innovative initiatives in medical AI, particularly in integrating diverse data types for holistic analysis and robust decision-making. This talk explores how NVIDIA, through collaborations with research institutions and healthcare organizations, is advancing a scalable multimodal medical AI ecosystem. Central to this effort is MONAI Multimodal, an open-source framework that integrates agentic AI architectures to bridge healthcare data silos. By leveraging autonomous agents for multistep reasoning across modalities, MONAI Multimodal enables seamless diagnostic analysis, combining medical imaging such as CT and MRI with surgical recordings, electronic health records (EHRs), clinical documentation, and other data streams. Key components include specialized large language models (LLMs) and vision-language models (VLMs) tailored for medical applications. The ecosystem supports research innovation across radiology, surgery, and pathology, enhancing clinical collaboration and accelerating the translation of AI research into clinical practice. This presentation will delve into how NVIDIA's technologies, including MONAI Multimodal, are empowering clinicians and researchers to develop scalable and reliable AI systems in healthcare.