4 Critical Steps to Effective Clinical Trials with Lung Imaging
By Jean-Paul Charbonnier, PhD Jean-Paul Charbonnier, CIO of Thirona explains 4 critical steps to effectively applying AI-enabled lung image analysis in pulmonary clinical trials. Why do so many trials struggle with getting it right? Quantitative evaluation of medical images with artificial intelligence (AI) plays an increasingly important role in clinical trials for drug and treatment development. […]
Comprehensive assessment of mucus impaction with Artificial Intelligence
By Thirona Editorial Team How can automatic detection of mucus plugs combined with a quantitative assessment of wall thickening provide a full picture of mucus impaction? Mucus impaction is a prevalent characteristic in many lung diseases. Understanding it is crucial to make fully informed treatment decisions. In this blog, we discuss mucus, challenges associated with it […]
Artificial Intelligence detects substantial airway damage on CT scans of children with severe asthma
By Prof. dr. Harm Tiddens, MD This blog provides a brief summary of a recent study “Children with severe asthma have substantial structural airway changes on computed tomography” by Wytse B. van den Bosch et al. (ERS Journal, Jan’2024), highlighting key insights and potential impact on treatment of the disease. Around 10% of children with asthma are classified […]
Redefining Bronchiectasis Trials Through AI-Powered Image Analysis
By Prof. dr. Harm Tiddens, MD I still remember the early days of my clinical career, poring over high-resolution chest CTs in children with cystic fibrosis. We’d look for the telltale signs of dilated bronchi, thickened walls, mucus plugs, trying to make sense of structural abnormalities with the naked eye. Even with the best visual scoring […]
Beyond the Algorithm – Driving Clinical Impact Through Compliance
Innovation only matters when it can be trusted in clinical practice. This article explores how regulatory rigor and a strong quality culture enable AI solutions to deliver real, measurable impact for patients and clinicians.
Redefining Bronchiectasis Trials Through AI-Powered Image Analysis
How AI-powered quantitative analysis of CT images is redefining bronchiectasis trials and personalized approach to treatment.
Optimizing Imaging Outcomes: Why Lung Volume Control Can Make or Break the Success of a Respiratory Clinical Trial
Lung volume consistency in CT image acquisition across timepoints is one of the fundamental factors to optimize sensitivity and accuracy of AI-based measurements in imaging-based respiratory clinical trials.
Artificial Intelligence detects substantial airway damage on CT scans of children with severe asthma
Fully automatic image analysis systems enabled by artificial intelligence can now measure the dimensions of almost all airways and blood vessels on a CT scan, with great precision and accuracy.
Comprehensive assessment of mucus impaction with Artificial Intelligence
How can automatic detection of mucus plugs combined with a quantitative assessment of wall thickening provide a full picture of mucus impaction?
10 years of innovating AI in lung imaging – What a journey!
This month, Thirona celebrates the 10-year anniversary.
Automatic airway analysis with artificial intelligence
Airway analysis automated with AI
Phenotyping vascular lung disease patients: new ways with imaging-based markers
Interview on imaging-based biomarkers in vascular lung diseases.
AI in phenotyping of pulmonary blood vessels: Redefining diagnosis and treatment of pulmonary vascular diseases.
4 critical steps to effectively applying AI-enabled lung image analysis in pulmonary clinical trials.
4 Critical Steps to Effective Clinical Trials with Lung Imaging
4 critical steps to effectively applying AI-enabled lung image analysis in pulmonary clinical trials.
From Scientist to CEO: My journey to pioneer AI in Precision Medicine
CEO of Thirona on founding a company to develop software for advanced lung image analysis.