Using AI to identify chest x rays requiring follow up after pneumonia - Amsterdam 2025

Artificial intelligence, machine learning models and biomarkers for classification, prediction, diagnosis and early detection of respiratory diseases

Chair(s): Vitalii Poberezhets, Dimitrios Megaritis

Session type: Poster session

Using AI to identify chest x rays requiring follow up after pneumonia

Lara Whitmore

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Synthetic data applications in respiratory research: Enhancing analysis accuracy and patient privacy with EPICOSAI

Arzu Kanik

Poster

Abstract

Screening COPD by analysing self-recorded breathing sounds: a pilot study

Ivan Juez-garcia

Poster

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Harnessing AI to predict asthma exacerbations: a promising frontier in respiratory health

Celeste Pugliaro

Poster

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Smartphone-based lung function measurement using AI-driven vocal biomarkers and acoustic analysis of voice and breathing

Martina Antinozzi

Poster

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Optimizing cough frequency assessment: a 7-day monitoring standard

Mindaugas Galvosas

Poster

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The significance of gender-specific characteristics in lung cancer screening.

Anna Tvarkovska

Poster

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VCScanBot AI-Driven Chat Bot for Lung X-Rays and Ultrasound to Detect Pulmonary Disease [Prelimimary Abstract]

Surraya Shams

Abstract

Improving early lung cancer screening in COPD patients using an AI-developed questionnaire.

Anna Tvarkovska

Poster

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Can arteficial intelligence transform chronic respiratory disease management? Insights from the COPD-ALERT project

Tamas Agh

Poster

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Using AI to identify chest x rays requiring follow up after pneumonia

Lara Whitmore

Poster

Abstract

Machine learning-driven lung sound analysis: novel methodology for asthma diagnosis

Ihsan Topaloglu

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Specificity, sensitivity and accuracy of generative artificial intelligence chatbots in chest X-ray interpretation

Vitalii Poberezhets

Poster

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Concurrent validity of smartwatch-based 6-minute walking distance in COPD

Debbie De Graaf

Poster

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Spatial and temporal contributions to real-world walking speed adaptations in COPD

Joren Buekers

Poster

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Deep learning model for segmentation of wheezing in the respiratory sound databases

Kyunghoon Kim

Poster

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Artificial intellengence (AI) and Asthma

Sarang Patil

Poster

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A diagnostic convolutional neural network for classifying muscle oxygenation signals across physical activity states in COVID-19 survivors and healthy people

Dimitrios Megaritis

Poster

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A cough sound-based deep learning algorithm for detection of chronic obstructive pulmonary disease with smartphones

Jingwen Huang

Poster

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Computational phenotyping of COVID-19: Unraveling clinical heterogeneity in a Tunisian cohort.

Ahmed Dhia El Euch

Poster

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CDN Connection Issue

The ERS Congress 2025, Amsterdam

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