Validation of artificial intelligence spirometry diagnostic support software in primary care: a blinded diagnostic accuracy study

Objective and design The objective of the present study was to assess the discriminative accuracy of artificial intelligence (AI) software to identify COPD and other chronic respiratory diseases from primary care spirometry. This was a diagnostic study with blinded analysis. Methods Retrospective ha...

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Principais autores:	Anthony Sunjaya, George D. Edwards, Jennifer Harvey, Karl Sylvester, Joanna Purvis, Matthew Rutter, Joanna Shakespeare, Vicky Moore, Ethaar El-Emir, Gillian Doe, Karolien Van Orshoven, Suhani Patel, Maarten de Vos, Ahmed Elmahy, Benoit Cuyvers, Paul Desbordes, Satesh Sehdev, Rachael A. Evans, Michael D. Morgan, Richard Russell, Ian Jarrold, Nannette Spain, Stephanie Taylor, David A. Scott, A. Toby Prevost, Nicholas S. Hopkinson, Samantha Kon, Marko Topalovic, William D-C. Man
Formato:	Artigo
Idioma:	Inglês
Publicado em:	European Respiratory Society 2025-09-01
Colecção:	ERJ Open Research
Acesso em linha:	https://doi.org/10.1183/23120541.00116-2025
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