EMA4MICCAI 2025 Workshop 

The Efficient Medical AI (EMA4MICCAI) Workshop aims to address the critical need for computationally efficient and resource-conscious AI solutions in medical applications. As medical AI models grow in complexity and deployment scales, challenges such as high computational costs, energy consumption, expensive annotation expenses, and latency in real-time clinical environments have emerged as significant barriers to widespread adoption. EMA focuses on advancing research and fostering discussion around innovative strategies to enhance the efficiency, scalability, and accessibility of medical AI, while maintaining or improving performance and reliability.

While the MICCAI community has extensively explored medical AI development and application, the computational efficiency of these solutions remains underrepresented. EMA directly addresses this gap by focusing on the practical challenges and opportunities for optimizing medical AI training and deployment procedures for real-world use. By integrating computational efficiency into the conversation, EMA will contribute to the MICCAI mission of advancing healthcare through innovative and deployable technologies.

The EMA workshop will cover, but is not limited to, the following topics:

• Lightweight Architectures for Real-Time Medical Imaging AI

• Scalable Federated Learning for Privacy-Preserving Healthcare AI

• High-Performance AI for Resource-Constrained Clinical Environments

• Real-Time Decision Support Systems Using Low-Latency AI Models

• Pruning and Quantization Techniques for Medical AI Model Compression

• Efficient Generative Models for Medical Image Synthesis and Augmentation

• Emerging Hardware Solutions for Efficient Medical AI Computing