artiq-spiro
This study aims to evaluate whether artificial intelligence (AI) decision-support software improves the performance of primary care clinicians in the interpretation of spirometry, against reference standards (expert interpretation).
This study aims to assess the accuracy of general practitioners in diagnosing respiratory diseases based on clinical examination only and with AI-supported spirometry.
This study explores perspectives on spirometry provision in primary care, and the potential for AI decision-support software to aid quality and interpretation.
By focusing on a population at risk of COPD without a formal diagnosis, we study how ArtiQ.Spiro can support general practitioners (GPs) in diagnosing COPD.
This study gives insights into the prevailing ideas of Belgian GPs about the spirometry and identifies barriers and facilitators for its use in primary care.
This study evaluates the ability of AI to diagnose respiratory diseases in primary care on a representative dataset (UK Biobank, UKBB) using spirometry.
AI detected ILD in 27% of subjects, 3.8±2.1 years prior to ILD diagnosis through standard care.