ChatGPT and Other Large Language Models for Parents' Questions About Childhood Asthma: A Comparative Study - Amsterdam 2025

Shaping the future of respiratory care through artificial intelligence and evidence-based digital strategies

Chair(s): Konstantinos Kostikas, Io Chi-Yan Hui

Session type: Oral presentation

ChatGPT and Other Large Language Models for Parents' Questions About Childhood Asthma: A Comparative Study

David Drummond

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Late Breaking Abstract - A open-source program to help alleviate shortages of respiratory medical devices in low-resource countries

Ramón Farré Ventura

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ChatGPT and Other Large Language Models for Parents' Questions About Childhood Asthma: A Comparative Study

David Drummond

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The construct validity of real-world digital mobility outcomes in people with chronic obstructive pulmonary disease

Dimitrios Megaritis

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Poster

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Assessment of healthcare consumption and asthma control after implementation of remote monitoring in long-term multicentre paediatric asthma care.

Martinus Oppelaar

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Poster

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Effects on life satisfaction using a digital therapy in individuals with pulmonary fibrosis randomised controlled investigation

Mary Beth Scholand

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Poster

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Patterns of adherence during home electronic monitoring in children with asthma in OUTERSPACERS. A randomised feasibility trial.

Will Carroll

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Poster

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Validation and acceptability of the mobile app version of the Control of Allergic Rhinitis and Asthma Test for Children (CARATKids)

Inês Pais Cunha

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Poster

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Effectiveness of early teleconsultation among COVID-19 mild and moderate patients with progression of COVID-19 related symptoms: A single-center, retrospective, cohort study

Olivia Dominique Payawal

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Quantifying the effectiveness of high acuity virtual hospital care for respiratory patients

Michael Shaw

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Implementing digital respiratory technologies: a CONNECT CRC systematic scoping review

Io Chi-yan Hui

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Discussion and Q&A

CDN Connection Issue

The ERS Congress 2025, Amsterdam

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