New CT and AI technologies in lung cancer screening at ESTI 2026

Join Canon Medical at the annual scientific meeting of the European Society of Thoracic Imaging (ESTI 2026) in Salzburg (June 04–06) for a focused symposium exploring how modern CT and AI technologies can help address these challenges across the lung cancer screening pathway – from image acquisition and reconstruction to analysis, reporting, and follow-up.

Across Europe, lung cancer screening (LCS) with low-dose CT is progressively expanding. As national programs are implemented and European initiatives support wider adoption, important challenges – such as ensuring diagnostic confidence at low dose, improving accessibility, supporting efficient workflows, and managing nodules and incidental findings – remain.

Mark your calendar and don’t miss our dedicated symposium, “New CT and AI technologies in Lung Cancer Screening: From Accessibility to Nodule Management,” on June 4, to learn more about the topic.

Don’t miss the symposium

Canon Medical Academy

New CT and AI technologies in Lung Cancer Screening

June 04 | 12:05–13:05 | Room 1

Join the “New CT and AI technologies in Lung Cancer Screening” symposium

June 04, 12:05–13:05 | Room 1

Don’t miss the Canon Medical symposium at ESTI 2026, where leading experts will share their perspectives and experience on the topic.

The session will be moderated by Prof. Mathias Prokop and will feature presentations from Prof. Annemiek Snoeckx and Prof. Cornelia M. Schaefer-Prokop.

Meet the experts

Program
  • Introduction | Prof. Mathias Prokop
  • Lung Cancer Screening in Motion: Access, Efficiency, Innovation | Prof. Annemiek Snoeckx
  • How Technology Can Help in Nodule Management and Incidental Findings | Prof. Cornelia M. Schaefer-Prokop
  • Live Q&A moderated by Prof. Mathias Prokop
Why Should You Attend?
  • To learn how CT and AI can help improve accessibility and efficiency in LCS through faster workflows in image acquisition, analysis and reporting
  • To discover the latest dose reduction technologies in CT, at both the hardware and software levels
  • To learn how AI in image reconstruction and analysis can help in the management of nodules and incidental findings

Join the Symposium

Information on Speakers and Presentations

Moderator: Prof. Mathias Prokop, MD, PhD Radiologist, Professor and Chairman, Department of Medical Imaging
Radboud University Medical Center
Nijmegen, The Netherlands

Discover More About the Moderator


Speaker: Prof. Annemiek Snoeckx, MD, PhD Associate Professor, University of Antwerp; Head of the Radiology Department, Antwerp University Hospital
Antwerp University Hospital
Edegem, Belgium

Presentation: Lung Cancer Screening in Motion: Access, Efficiency, Innovation

While the value of lung cancer screening (LCS) in terms of mortality reduction has been demonstrated, its effective implementation still presents some challenges. These challenges are multiple and span over a wide range of complexities, from ensuring appropriate eligibility and equitable access, to improving efficiency through faster and automated workflows in image acquisition, analysis, and structured reporting. While increased awareness, educational programs, and logistic efforts are essential, current CT and AI technology may also play an important role in addressing some of these challenges.

In this presentation, an overview of the main challenges in lung cancer screening workflows will be outlined, and the potential role of CT and AI technologies in improving accessibility and efficiency will be discussed.

Discover More About the Speaker


Speaker: Prof. Cornelia M. Schaefer-Prokop, MD, PhD Radiologist
Meander Medical Centre (and Radboud University Medical Center)
Amersfoort, the Netherlands

Presentation: How Technology Can Help in Nodule Management and Incidental Findings

Managing lung nodules and incidental findings deriving from low-dose CT in lung cancer screening (LCS) remains an important challenge. A balanced approach that avoids overdiagnosis while addressing clinically significant issues is essential to ensure the highest impact on individuals who have to be treated while maintaining a sustainable healthcare system. This presentation will discuss how CT technology can help in this direction, with a focus on the role of deep learning reconstruction for super-resolution imaging, Artificial Intelligence, and photon-counting detector CT.

Discover More About the Speaker

 

For more information on lung cancer screening solutions, please visit here.

Disclaimers

  • The opinions expressed in this material are solely those of the presenter and not necessarily those of Canon Medical Systems. Canon Medical Systems does not guarantee the accuracy or reliability of the information provided herein.
  • The clinical results, performance and views described in this video/webinar are the experience of the clinician. Results may vary due to clinical setting, patient presentation and other factors. Many factors could cause the actual results and performance of Canon Medical’s products to be materially different from any of the aforementioned.
  • Some products shown might not be available in all regulatory jurisdictions, please consult with your local Canon sales office for availability in your region.

Contact Us