About MONAI

Project MONAI is a collaborative initiative that brings together leading researchers, clinicians, and industry experts to advance medical imaging AI. Originally started by NVIDIA and King's College London, MONAI has grown into a vibrant community focused on developing and sharing best practices, tools, and frameworks for healthcare imaging across academia and enterprise.

Our mission is to accelerate the adoption of AI in healthcare imaging by providing robust, validated tools and fostering collaboration between researchers, clinicians, and industry partners. Building upon the foundations laid by toolkits like NVIDIA Clara Train, NiftyNet, DLTK, and DeepNeuro, MONAI Core has emerged as our flagship framework, embodying the community's collective expertise and innovation.

Advisory Board

The MONAI Advisory Board brings together distinguished leaders from academia, healthcare, and industry who guide our strategic direction and ensure alignment with the needs of the medical imaging community. Our board members contribute their diverse expertise to shape MONAI's development and impact in healthcare AI.

Board members play a crucial role in maintaining MONAI's technical excellence, clinical relevance, and ethical standards. They provide strategic oversight across various aspects including technical development, clinical validation, educational initiatives, and community engagement.

Through regular collaboration with working groups and the broader community, the Advisory Board ensures that MONAI continues to meet the evolving needs of researchers, clinicians, and industry partners while advancing the field of medical imaging AI.

Our Working Groups are driven at the Advisory Board level, with each working group lead serving as a member of the Advisory Board. These specialized teams focus on key areas including core development, deployment, education, benchmarking, federated learning, AI-human interaction, outreach, and clinical applications such as ophthalmology and ultrasound.