7th International MICAD 2026 Conference

Maria Valdes Hernandez, Row Fogo Lecturer in Medical Image Analysis, and Ben Philps, PhD student, both attended and presented posters. 

MICAD 2026 will focussed on the next stage of AI-driven medical imaging, emphasising the transition from algorithmic innovation to clinically trustworthy and deployable systems. The conference higlighted recent progress in interdisciplinary research areas, including:

· Foundation models and large-scale learning for medical imaging analysis
· Large Language Models (LLMs) for image interpretation, clinical reporting, and decision support
· Advanced deep learning and transformer-based architectures for segmentation, detection, and diagnosis
· Multi-modal learning integrating medical images, clinical data, and reports
· Generative AI for synthetic data generation, image enhancement, and model interpretability
· Reliability, robustness, and clinical integration of computer-aided diagnosis systems

MICAD 2026 aims to reflect on the evolving role of artificial intelligence in medical imaging, from methodological advances to real-world clinical applications across radiology, pathology, and related domains.

You can found out more about MICAD 2026 by clicking on the link below: 

MICAD 2026