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DOI 10.1177/17534666261464435

Медицинская библиотека · Therapeutic advances in respiratory disease · 2026

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

Nigro Mattia, Aliverti Andrea, Angelucci Alessandra, Bossios Apostolos, Pinnock Hilary, Boyd Jeanette, Powell Pippa, Shteinberg Michal, Chalmers James D, Aliberti Stefano, AIR-BE Task Force

СтатьяМногоцентровое исследованиеПеревод в очереди

Аннотация

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.

Для цитирования: Nigro Mattia, Aliverti Andrea, Angelucci Alessandra, Bossios Apostolos, Pinnock Hilary, Boyd Jeanette, Powell Pippa, Shteinberg Michal, Chalmers James D, Aliberti Stefano, AIR-BE Task Force. Artificial intelligence responses to bronchiectasis patients' questions: the AIR-BE study.. Therapeutic advances in respiratory disease. 2026. DOI: 10.1177/17534666261464435.

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