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Meet Lunit at ECR 2026


Hall Expo 1, Booth AI-10 

AI that supports radiologists across chest X-ray and mammography

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Discover our AI solutions, live at ECR  

Experience how Lunit’s clinically validated AI solutions support radiologists in daily practice; enhancing cancer detection, improving workflow efficiency, and enabling confident decision-making. 

Breast imaging:
Lunit INSIGHT Breast Suite (MMG/DBT)   

An AI solution designed to support breast cancer detection in 2D mammography and 3D tomosynthesis by highlighting malignant lesions. 

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Chest radiology: 
Lunit INSIGHT CXR   

Lunit INSIGHT CXR is a workflow-oriented AI designed to support safer and more efficient review of chest X-rays by combining abnormality detection with high-confidence normal flagging. 

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Don't miss these hands-on workshops on AI in breast imaging

During these workshops, participants will work at dedicated workstations and be guided by experienced clinical users through clinical case reviews with AI output, to better understand how AI behaves in both screening and symptomatic breast imaging. The sessions are particularly suited for radiologists considering the use of AI in breast imaging, as well as for those who are new to clinical AI adoption.
 
📍 House of FUJIFILM
Session 1: March 5 | 10:00–11:00

Hands-on clinical case review with Dr. Claudia Kurtz (Lucerne Hospital, Switzerland)

Session 2: March 5 | 14:00–15:00
Hands-on clinical case review with Dr. Sergej Popovich (Evidia, Germany)

Session 3: March 6 | 15:30–16:30
Hands-on clinical case review with Dr. Karin Dembrower (Capio St Göran Hospital, Sweden)

Symposium: AI in breast imaging: already a success story or still a novel to write?

📍 House of FUJIFILM | March 7, 09:30 - 10:00

Speakers: Prof. Francesco Sardanelli, Dr. Karin Dembrower, Dr. Claudia Weiss, Dr. Sergej Popovich

This symposium gathers seasoned experts to share diverse experiences on adopting AI systems in clinical and screening mammography throughout Europe. Attendees will gain insights into the current successes, challenges, and future directions of AI applications in this critical area of healthcare. 
 

 

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See the clinical evidence behind Lunit AI at ECR 2026 

Explore how Lunit AI is shaping the future of breast imaging and chest radiology through peer-reviewed clinical research presented at ECR 2026. Across 15 accepted abstracts, Lunit solutions demonstrate advances in areas such as early cancer detection, workflow efficiency, risk stratification, or large-scale clinical deployment.

Lunit INSIGHT MMG/DBT

Model Performance & Benchmarking

• Empirically determined effect of dataset size and enrichment on threshold selection of a commercial mammography AI algorithm
Payne et al. | Oral | RPS 1102 | March 5, 16:30-18:00
• Comparing the Performance of Top Ranked AI Models from the RSNA 2023 Screening Mammography Breast Cancer Detection AI Challenge to Commercial AI Models
Chen et al. | Oral | RPS 1905 | March 7, 12:30-13:30 

Autonomous AI & Workflow Evolution
• AI-only for assessing breast cancer screening mammograms – the evolution with AI as an independent reader
Dembrower et al. | Oral | RPS 1102 | March 5, 16:30-18:00
• Evolution of Breast Cancer Screening: From Human-Only Double Reading to AI-Integrated Single Reading – flaggings, recall rates and increased cancer detection rate 
Dembrower et al. | Poster
Model Performance & Benchmarking

• Empirically determined effect of dataset size and enrichment on threshold selection of a commercial mammography AI algorithm
Payne et al. | Oral | RPS 1102 | March 5, 16:30-18:00
• Comparing the Performance of Top Ranked AI Models from the RSNA 2023 Screening Mammography Breast Cancer Detection AI Challenge to Commercial AI Models
Chen et al. | Oral | RPS 1905 | March 7, 12:30-13:30 

Risk Stratification & Personalized Screening

• AI-assisted double reading in mammography screening: exam risk score patterns and early cancer risk prediction
Weiss et al. | Oral | RPS 1402 | March 5, 12:30-13:30
• Artificial intelligence–assisted risk stratification of atypical breast lesions: correlation of pathology, imaging features and Lunit abnormality score 
Souza et al. | Oral | RPS 1102 | March 5, 16:30-18:00

Modality & Population Performance

• Is Digital Breast Tomosynthesis (DBT)-based Artificial Intelligence (AI) Better than 2D Mammography-based AI?
Chen et al. | Oral | RPS 1105 | March 5, 16:30-18:00
• Real world monitoring of the threshold for an AI-algorithm in breast cancer screening and different mammography equipments 
Dembrower et al. | Poster 

Volpara Analytics & Scorecard

Risk Modeling & Density

• External Validation of Four Breast Cancer Risk Models With and Without Breast Density in a prospective Dutch Screening Cohort 
Peters et al. | Oral | RPS 1402 | March 6, 12:30-13:30 

MRI Screening in Dense Breasts

• Supplemental MRI screening for women with extremely dense breasts: results of three screening rounds of the DENSE trial
Van Grinsven et al. | Oral | RPS 1002 | March 5, 14:30-16:00

Quality Analytics

• Automated Mammography Breast Positioning Assessment After Surgical Intervention
Hill et al. | Poster | EPOS Radiographer (scientific)

Lunit INSIGHT CXR

Normal flagging performance

• AI on the Front Line: Real-World Performance of Lunit INSIGHT CXR in a high volume Tertiary Centre 
Kneafsey et al. | Poster

MRI Screening in Dense Breasts

• Supplemental MRI screening for women with extremely dense breasts: results of three screening rounds of the DENSE trial
Van Grinsven et al. | Oral | RPS 1002 | March 5, 14:30-16:00

Secure your appointment

📍Visit us at Booth AI-10

❶ Gain an in-depth understanding of how Lunit AI can support your clinical and operational goals
❷ See live demonstrations of our breast and chest AI solutions
❸ Discuss real-world use cases, deployment, and integration with our experts  

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The numbers speak for themselves

20+
Speakers and thought leaders
150k+
Participants both virtual and in-person
10
Workshops across a wide range of topics