ECR 2026 AI Landscape

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ECR 2026 AI Landscape

Good morning there. ECR 2026 runs March 4–8 in Vienna. We mapped where AI appears in the official programme, which formats concentrate it, and how it splits between clinical and operational themes.

Quick snapshot:

Where AI shows up

AI visibility is not evenly distributed across session types. Research and structured discussion formats naturally attract validation studies and deployment experiences, while technique-driven formats often include AI as a tool rather than the core theme.

Top AI-heavy formats by count: Research Presentation Sessions (47 AI sessions) and ESR at Work Sessions (25).

Looking at composition instead of raw counts reveals which formats are truly AI-dense.

Clinical vs structural inside AI

AI sessions split between organ-system clinical content and structural themes such as workflow integration, informatics, governance, and professional adaptation.

Clinical: 76 (53.52%). Structural: 66 (46.48%).

Clinical AI by subspecialty

AI activity concentrates in high-volume domains and pathways with measurable downstream impact.

Top areas: Oncologic Imaging (39), Neuro (8), Chest (6).

Operational footprint and generative AI

Structural tags frequently co-occur with AI sessions, highlighting integration, quality assurance, reporting systems, and governance.

Intersection signal: 13 AI sessions sit at the overlap of imaging informatics and clinical practice.

Top structural tags within AI: Imaging Informatics (44), Professional Issues (38), President's Choice (31).

Generative AI references: 7 sessions.

ETC levels and CME weight

ETC levels compare educational depth between AI sessions and the overall programme.

AI levels: L1 16 (16.8%), L2 47 (49.5%), L3 32 (33.7%).

All sessions: L1 104 (20.8%), L2 252 (50.4%), L3 144 (28.8%).

CME credits: AI totals 173.00 across 140 sessions (avg 1.24 per session). Non-AI totals 501.00 across 437 sessions (avg 1.15).

Which radiology subspecialty are you most interested in for AI coverage at ECR 2026?

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