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

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

Vitalii Poberezhets

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

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

Ivan Juez-garcia

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

Celeste Pugliaro

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

Martina Antinozzi

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Optimizing cough frequency assessment: a 7-day monitoring standard

Mindaugas Galvosas

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

Anna Tvarkovska

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

Surraya Shams

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

Anna Tvarkovska

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

Tamas Agh

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

Lara Whitmore

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

Ihsan Topaloglu

Abstract

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

Vitalii Poberezhets

Poster

Abstract

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

Debbie De Graaf

Poster

Abstract

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

Joren Buekers

Poster

Abstract

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

Kyunghoon Kim

Poster

Abstract

Artificial intellengence (AI) and Asthma

Sarang Patil

Poster

Abstract

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

Dimitrios Megaritis

Poster

Abstract

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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