EMA4MICCAI 2026 Workshop

The 2nd MICCAI Workshop on Efficient Medical AI

A half-day workshop

Sept 27/Oct 4, 2026 (Tentative)

Strasbourg, France

Overview

The Efficient Medical AI (EMA4MICCAI) Workshop addresses the critical need for computationally efficient and resource-conscious AI in medical applications. Despite remarkable progress in medical AI, real-world clinical adoption remains hindered by high computational costs, annotation burden, and deployment constraints. EMA brings together researchers, engineers, and clinicians to advance innovative strategies that enhance the efficiency, scalability, and accessibility of medical AI — without compromising performance or reliability.

Building on the success of EMA 2025, this second edition expands its focus to efficient training and adaptation of large-scale foundation models, data-centric efficiency strategies, and multimodal learning — directly addressing the growing tension between model capability and resource constraints in clinical environments.

Aim and Scope

EMA4MICCAI 2026 advances computational efficiency in medical AI across three pillars: algorithmic innovation, data-centric strategies, and systems-level co-design. Key themes include:

Efficient training and adaptation of LLMs, vision-language models, and medical foundation models
Optimizing deep learning for medical imaging and diagnostics under resource constraints
Scalable, privacy-preserving federated learning across clinical institutions
Edge and embedded deployment for real-time clinical applications
Benchmarks that jointly capture efficiency, robustness, and clinical utility