Background: The popularity of Generative Artificial Intelligence (AI)-powered chatbots is growing, with more patients using AI to understand respiratory conditions, including bronchiectasis. The quality of AI’s responses to bronchiectasis-related questions has not previously been evaluated. Objectives: To evaluate the reliability, accuracy, comprehensiveness, and understandability of responses generated by different AI-based chatbots to bronchiectasis-related questions formulated by patients. Design: Cross-sectional international study. Methods: People living with bronchiectasis from the EMBARC/European Lung Foundation (ELF) patient advisory group formulated 15 bronchiectasis-related questions, categorised into 3 difficulty tiers. These questions were submitted to three AI-based chatbots: ChatGPT, Bard, and Copilot. An international group of 28 experts from the European Respiratory Societies (recruited through Assemblies and the CONNECT clinical research collaboration) and 33 patients evaluated the answers’ reliability, accuracy, comprehensiveness, and understandability. Results: Of 45 outcomes, 37 were deemed reliable. Median accuracy scores ranged from 6.0 to 9.0, with ChatGPT scoring higher than Copilot and Bard (8.0 [7.0–9.0] vs 7.0 [6.0–8.0] vs 7.0 [6.0–8.0], p-value < 0.001). Median comprehensiveness scores ranged from 6.0 to 9.0, with ChatGPT providing more comprehensive answers compared to Bard and Copilot (8.0 [7.0–9.0] vs 8.0 [6.0–9.0] vs 7.0 [6.0–8.0], p-value < 0.001). Median understandability scores ranged from 7.0 to 10.0, with ChatGPT and Bard delivering more understandable answers than Copilot (9.0 [8.0–10.0] vs 9.0 [8.0–10.0] vs 9.0 [7.0–10.0], p-value < 0.001). Differences in understandability were noted in Bard’s responses across difficulty tiers (easy 9.0 [8.0–10.0] vs medium 9.0 [7.0–10.0] vs difficult 8.0 [7.0–10.0], p-value = 0.012). Conclusion: AI software, particularly ChatGPT, provided accurate, comprehensive, and understandable answers to our 15 bronchiectasis-related questions.

Artificial intelligence responses to bronchiectasis patients’ questions: the AIR-BE study

Aliverti A.;Angelucci A.;
2026-01-01

Abstract

Background: The popularity of Generative Artificial Intelligence (AI)-powered chatbots is growing, with more patients using AI to understand respiratory conditions, including bronchiectasis. The quality of AI’s responses to bronchiectasis-related questions has not previously been evaluated. Objectives: To evaluate the reliability, accuracy, comprehensiveness, and understandability of responses generated by different AI-based chatbots to bronchiectasis-related questions formulated by patients. Design: Cross-sectional international study. Methods: People living with bronchiectasis from the EMBARC/European Lung Foundation (ELF) patient advisory group formulated 15 bronchiectasis-related questions, categorised into 3 difficulty tiers. These questions were submitted to three AI-based chatbots: ChatGPT, Bard, and Copilot. An international group of 28 experts from the European Respiratory Societies (recruited through Assemblies and the CONNECT clinical research collaboration) and 33 patients evaluated the answers’ reliability, accuracy, comprehensiveness, and understandability. Results: Of 45 outcomes, 37 were deemed reliable. Median accuracy scores ranged from 6.0 to 9.0, with ChatGPT scoring higher than Copilot and Bard (8.0 [7.0–9.0] vs 7.0 [6.0–8.0] vs 7.0 [6.0–8.0], p-value < 0.001). Median comprehensiveness scores ranged from 6.0 to 9.0, with ChatGPT providing more comprehensive answers compared to Bard and Copilot (8.0 [7.0–9.0] vs 8.0 [6.0–9.0] vs 7.0 [6.0–8.0], p-value < 0.001). Median understandability scores ranged from 7.0 to 10.0, with ChatGPT and Bard delivering more understandable answers than Copilot (9.0 [8.0–10.0] vs 9.0 [8.0–10.0] vs 9.0 [7.0–10.0], p-value < 0.001). Differences in understandability were noted in Bard’s responses across difficulty tiers (easy 9.0 [8.0–10.0] vs medium 9.0 [7.0–10.0] vs difficult 8.0 [7.0–10.0], p-value = 0.012). Conclusion: AI software, particularly ChatGPT, provided accurate, comprehensive, and understandable answers to our 15 bronchiectasis-related questions.
2026
artificial intelligence
bronchiectasis
disease awareness
patient education
File in questo prodotto:
File Dimensione Formato  
Artificial_intelligence_responses_to_bronchiectasis_patients_questions_the_AIR-BE_study.pdf

accesso aperto

Dimensione 971.02 kB
Formato Adobe PDF
971.02 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1327730
Citazioni
  • ???jsp.display-item.citation.pmc??? 1
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex ND
social impact