Narrative review highlights artificial intelligence applications for thoracic vascular and airway diseases, emphasizing collaborative translation into daily clinical radiology.
The radiologic community is rapidly integrating a revolution that has not fully entered daily practice. It necessitates a close collaboration between computer scientists and radiologists to move from concepts to practical applications. This article reviews the current littérature on machine learning and deep neural network applications in the field of pulmonary embolism, chronic thromboembolic pulmonary hypertension, aorta, and chronic obstructive pulmonary disease.
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Rémy‐Jardin et al. (2020) studied this question.
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