RCT Abstract - A Novel Artificial Intelligence Feedback System Boosts Novice Bronchoscopy Performance based Chest-CT Simulated Tracheal Models: A Randomized Controlled Trial - Vienna 2024

ALERT 1: Enhancing respiratory care with technology and improving effectiveness of smoking cessation programmes

Chair(s): Daniela Gompelmann, Avinash Aujayeb, Armin Frille, Stylianos Loukides

Session type: Clinical trials session

RCT Abstract - A Novel Artificial Intelligence Feedback System Boosts Novice Bronchoscopy Performance based Chest-CT Simulated Tracheal Models: A Randomized Controlled Trial

Gang Hou

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RCT Abstract - Effect of Personalized Informed Consent with Individual Data-based Bronchoscopy Simulator on Peri-procedure Anxiety

Weidong Xu

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RCT Abstract - A Novel Artificial Intelligence Feedback System Boosts Novice Bronchoscopy Performance based Chest-CT Simulated Tracheal Models: A Randomized Controlled Trial

Gang Hou

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Abstract

Slides

Late Breaking Abstract - SPIROmetry interpretation in primary care with or without Artificial Intelligence Decision support software (SPIRO-AID)

William Man

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Wrap-up by discussant and discussion

Stylianos Loukides

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Immediate evidence-based support: Key to quitting smoking in chronic airway disease A multicenter randomized study

Dilek Karado?an

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Wrap-up by discussant and discussion

Armin Frille

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Closing remarks

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Session aims

The ALERT sessions (Abstracts Leading to Evolution in Respiratory Medicine Trials) showcase important and very late-breaking clinical trial data from all respiratory disease areas. Presenters, discussants, session chairs and the audience will actively discuss the showcased trials.

CDN Connection Issue

The ERS Congress 2024, Vienna

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