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Asthma affects nearly 300 million people worldwide.1 Despite a notable decline in age-standardized prevalence, mortality and disability-adjusted life years over the past three decades, the burden of asthma remains high in many countries including low-middle-income countries.2 Climate change is also predicted to significantly impact asthma and other respiratory-related conditions, as rising global temperatures lead to longer pollen […]

Simon Walsh, ERS 2018 – A new algorithm for classifying fibrotic lung disease

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Published Online: Sep 22nd 2018

Simon Walsh (King’s College NHS Foundation Trust, King’s College London, London, UK) discusses the background and findings of his late-breaking presentation entitled: A Deep Learning Algorithm for Classifying Fibrotic Lung Disease on High Resolution Computed Tomography.

Questions

1. What are the current standard techniques for diagnosing and classifying fibrotic lung disease? (0:12)
2. What are the limitations of these methods? (1:09)
3. Could you tell us a little about the new algorithm you have developed and the study investigating its utility? (2:00)
4. What were the findings of this study? (2:36)
5. What further studies are planned? (3:38)

Speaker disclosure: Simon Walsh has nothing to disclose in relation to this video interview.

Filmed at the European Respiratory Society (ERS) International Congress 2018, Paris, France, September 2018.

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