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VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge

NVIDIA researchers introduced VILA-M3, a vision-language model enhanced with medical expert knowledge, at CVPR 2025. The model aims to improve AI understanding of medical images by incorporating domain-specific expertise, potentially advancing diagnostic tools.

read1 min views1 publishedJun 15, 2026

Research Labs All Research Labs Spatial Intelligence Applied Research Autonomous Vehicles Deep Imagination Publications AI Playground New and Featured AI Art Gallery NGC Demos Research Areas AI & Machine Learning 3D Deep Learning Computer Vision Robotics All Areas Careers Academic Collaborations Government Collaborations Graduate Fellowship Internships Research Openings Research Scientists Meet the Team Licensing Skip to main content Artificial Intelligence Computing Leadership from NVIDIA Login Research Labs All Research Labs Spatial Intelligence Applied Research Autonomous Vehicles Deep Imagination Publications AI Playground New and Featured AI Art Gallery NGC Demos Research Areas AI & Machine Learning 3D Deep Learning Computer Vision Robotics All Areas Careers Academic Collaborations Government Collaborations Graduate Fellowship Internships Research Openings Research Scientists Meet the Team Licensing Search Search Enter the terms you wish to search for. Publications VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge Authors Vishwesh Nath Wenqi Li Dong Yang Andriy Myronenko

Mingxin Zheng (NVIDIA)
Yao Lu (NVIDIA)

Zhijian Liu Hongxu Danny Yin

Yee Man Law (SingHealth)
Stephanie Harmon (NIH)
Benjamin Simon (NIH)

Greg Heinrich

Stephen Aylward (NVIDIA)
Marc Edgar (NVIDIA)
Michael Zephyr (NVIDIA)

Pavlo Molchanov Baris Turkbey (NIH) Holger Roth Daguang Xu Publication Date Wednesday, June 11, 2025 Published in CVPR 2025 Research Area Medical

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