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

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

Ahmed Dhia El Euch

EVENTS HOME

Poster
Abstract

Previous presentation

Next presentation

Session content

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

Abstract

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

Celeste Pugliaro

Poster

Abstract

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

Martina Antinozzi

Poster

Abstract

Optimizing cough frequency assessment: a 7-day monitoring standard

Mindaugas Galvosas

Poster

Abstract

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

Anna Tvarkovska

Poster

Abstract

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

Abstract

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

Tamas Agh

Poster

Abstract

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

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

Abstract

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

Ahmed Dhia El Euch

Poster

Abstract

CDN Connection Issue

The ERS Congress 2025, Amsterdam

#{title}