Validation of an Artificial Intelligence Enabled Diagnostic Support Software (ArtiQ.Spiro) in Primary Care Spirometry Datasets - a Retrospective Analysis

A retrospective study to evaluate the diagnostic performance of an Artificial Intelligence enabled software (ArtiQ.Spiro) in UK primary care spirometry datasets.

Inclusion Criteria:Adult aged 18 years or overAt least one of the following respiratory symptoms: cough, wheeze, shortness of breath, reduced exercise toleranceSpirometry performed for clinical purposes in a non-hospital lung function setting (such as a community clinic, a GP practice, or at home)Spirometry was supervised by a doctor or non-medical allied health professionalExclusion Criteria:Aged 17 or underNo respiratory symptomsSpirometry performed for pre-operative assessmentSpirometry performed exclusively as part of a research studySpirometry performed at home without supervision.