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Issue #32
February 24, 2026

ECR 2026 AI Landscape

PLUS: Quantitative analysis of AI sessions, themes, and momentum

RadAI Slice Newsletter

Weekly Updates in Radiology AI

ECR 2026 · Special Edition

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.

ECR 2026

Quick snapshot:

• 142 of 603 sessions are AI-tagged (23.55%).

• Most AI sessions appear in Research Presentation Sessions (47) and ESR at Work Sessions (25).

• AI splits into 76 clinical (53.52%) and 66 structural (46.48%).

• Leading clinical areas: Oncologic Imaging (39) and Neuro (8).

• 7 sessions reference generative AI keywords.

View the full report

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).

Session Types: AI Count vs Total

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

Top 10 Session Types: AI vs Non-AI

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).

AI by subspecialty

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.

Top structural tags

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%).

ETC Level distribution

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).

POLL of WEEK

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

Oncologic imaging
Chest
Neuro
Musculoskeletal
Cardiac
Abdominal / GI
Breast
Paediatric
Interventional radiology
Imaging informatics / workflow
Other

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