Added value of an artificial intelligence algorithm in reducing the number of missed incidental acute pulmonary embolism in routine portal venous phase chest CT.
Eline Langius-WiffenPim A de JongFirdaus A Mohamed HoeseinLisette DekkerAndor F van den HovenIngrid M NijholtMartijn F BoomsmaWouter B VeldhuisPublished in: European radiology (2023)
• Incidental pulmonary embolism is often missed by radiologists in non-diagnostic scans with suboptimal contrast opacification within the pulmonary trunk. • An artificial intelligence algorithm showed higher sensitivity detecting incidental pulmonary embolism on routine portal venous chest CT compared to the initial report. • Implementation of artificial intelligence support in routine daily practice will reduce the number of missed incidental pulmonary embolism.
Keyphrases
- pulmonary embolism
- artificial intelligence
- machine learning
- deep learning
- big data
- inferior vena cava
- contrast enhanced
- computed tomography
- clinical practice
- dual energy
- primary care
- healthcare
- image quality
- magnetic resonance imaging
- liver failure
- magnetic resonance
- pulmonary hypertension
- physical activity
- positron emission tomography
- respiratory failure
- intensive care unit
- drug induced
- extracorporeal membrane oxygenation
- aortic dissection
- pet ct
- hepatitis b virus