AI-Powered CT Imaging for Smarter Clinical Trials in Bronchiectasis Treatment 

Webinar Details:
Prof. Dr. Harm Tiddens
01/05/2026
On demand

Speaker

What will you learn from the webinar?

Key Takeaways

    1. Automated Sub-Segmental Quantification: Discover exactly which structural changes in the lungs can be automatically quantified by AI, down to the sub-segmental level.

    1. The Latest Evidence: Review new scientific data validating AI-based disease phenotyping and longitudinal therapy efficacy assessments.

    1. Translational Insights from COPDGene: Uncover breakthrough findings from a 10-year COPDGene study and learn how to apply these datasets to optimize bronchiectasis trial design.

    1. Data Standardization: Learn actionable insights to optimize CT acquisition protocols, ensuring consistent, high-quality data across multi-center imaging sites

 

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