Spirometry interpretation in primary care: is there a role for artificial intelligence?

Sherif Gonem

doi:10.1183/23120541.00353-2025

September 1, 2025ERJ Open ResearchOpen Access

Spirometry interpretation in primary care: is there a role for artificial intelligence?

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Key Points

Artificial intelligence tools may enhance spirometry interpretation for diagnosing COPD in primary care settings, but further work is needed.
Key metrics indicate current AI models lack proper calibration for primary care populations and need improvement for accurate interpretation.
The assessment of artificial intelligence tools was conducted in an observational analysis focused on primary healthcare practices and patients with COPD.
These findings highlight the potential of integrating AI into primary care, yet underscore the need for enhancements in model reliability and effectiveness.

Abstract

Artificial intelligence tools may help with spirometry interpretation and diagnosis of COPD in primary care, but further work is needed to improve calibration to a primary care population and model interpretability https://bit.ly/42mWXIR.

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Cite This Study

Sherif Gonem (2025) studied this question.

synapsesocial.com/papers/68dfa9f12808bcf356ab6bfd https://doi.org/10.1183/23120541.00353-2025

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Spirometry interpretation in primary care: is there a role for artificial intelligence?

Key Points

Abstract

Discussion

Cite This Study

Spirometry interpretation in primary care: is there a role for artificial intelligence?

Key Points

Abstract

Discussion

Cite This Study

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