Assessing the potential of using ChatGPT by patients with asthma - Vienna 2024

Man and machine: getting the balance right to support respiratory care and clinical skills

Chair(s): Vitalii Poberezhets, Apolline Gonsard

Session type: Poster session

Assessing the potential of using ChatGPT by patients with asthma

Anna V Demchuk

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Comparison of two AI-based software tools for detection of Incidental Pulmonary Nodules (IPN) in a University Hospital and a Radiology Practice

Rimma Kondrashova

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Real-world walking of people with COPD

Laura Delgado Ortiz

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The feasibility and acceptabililty of video directly observed therapy (v-DOT) for achieving mastery of inhaler and nasal spray technique: A qualitative exploration.

Kathryn Ferris

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Abstract

Digital inhaler adherence monitoring and intervention in COPD: A systematic review and meta-analysis

Hnin Aung

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Abstract

Detecting the onset and peak symptoms of exacerbations of COPD by analyzing speech

Loes Van Bemmel

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Abstract

How medical students use ChatGPT?

Nataliia Slepchenko

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Abstract

Large language models in solving clinical dilemmas advantages and drawbacks

Jeremie Juan

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Abstract

Telemonitoring of pediatric asthma outpatient settings: a systematic review

In Pais Cunha

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Abstract

Pedagogical evaluation of an augmented reality thoracentesis simulator for the training of medical students.

Benjamin Renaud-picard

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Abstract

Bridging the gap in implementation of home monitoring for Pulmonary Fibrosis: a healthcare professionals perspective

Delian Hofman

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Estimated carbon emissions and support cost savings to telemedicine for patients with central airway diseases

Pedro Ciaralo

Poster

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Evaluation of ChatGPT's performance in Medical Education: A Comparative Analysis with Students in a Pulmonology Examination

Hela Cherif

Poster

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ERS CONNECT Clinical Research Collaboration (CRC): Developing a digital healthcare global network

Hilary Pinnock

Poster

Abstract

Patient insights into decentralization of a clinical trial in asthma (TANGO)

Marisa Minetti

Poster

Abstract

Using AI to expose the mechanisms of exertional dyspnoea in COPD: conflating excessive and constrained ventilation during incremental CPET

J. Alberto Neder

Poster

Abstract

Evaluating the value of AI in lung imaging: a comprehensive review and evidence gap analysis from the healthcare authorities' and reimbursement perspective

Jana Keller

Poster

Abstract

Assessing the potential of using ChatGPT by patients with asthma

Anna V Demchuk

Poster

Abstract

Personalised longitudinal symptom tracking for Long COVID in Northern Ireland

Nazia Chaudhuri

Poster

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Telemonitoring and the Aversion of Severe COPD Exacerbation: A Systematic Review and Meta-Analysis

Sujin Jang

Poster

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Artificial intelligence (AI) in the initiation of CPAP treatment

Julia Sampol Sirvent

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The ERS Congress 2024, Vienna

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