Artificial intelligence for thoracic radiology: from research tool to clinical practice

Lucio Calandriello, Simon L.F. Walsh

Source: Eur Respir J, 57 (5) 2100625; 10.1183/13993003.00625-2021
Journal Issue: May

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Abstract

Artificial intelligence (AI) presents an attractive opportunity for providing decision support to radiologists, who are often overburdened by the ever-increasing number of radiographs that are requested each year [1]. Interpretation errors, reporting delays and backlogs, particularly of chest radiographs (CXR), continue to be a major problem faced by busy radiology departments.



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Lucio Calandriello, Simon L.F. Walsh. Artificial intelligence for thoracic radiology: from research tool to clinical practice. Eur Respir J, 57 (5) 2100625; 10.1183/13993003.00625-2021

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