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Artificial intelligence could improve diagnostic power of lung function tests

Artificial intelligence could improve the interpretation of lung function tests for the diagnosis of long-term lung diseases, according to a new study.

Artificial intelligence could improve the interpretation of lung function tests for the diagnosis of long-term lung diseases, according to a new study. The results, presented at the European Respiratory Society’s International Congress, are the first to explore the potential use of artificial intelligence for improving the accuracy of the diagnosis of lung diseases. Current testing requires a series of methods including a spirometry test, which measures the amount (volume) and the speed (flow) of air during breathing, followed by a body plethysmography test measuring static lung volumes and airways resistance and finally a diffusion test, which measures the amount of

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