An artificial intelligence algorithm for pulmonary embolism detection on polychromatic computed tomography: performance on virtual monochromatic images.
Eline Langius-WiffenIngrid M NijholtRogier A van DijkErwin de BoerJacqueline Nijboer-OosterveldWouter B VeldhuisPim A de JongMartijn F BoomsmaPublished in: European radiology (2023)
• Diagnostic accuracy of an AI algorithm trained on conventional polychromatic images to detect PE did not drop on virtual monochromatic images. • Our results are reassuring as innovations in hardware and reconstruction in CT are continuing, whilst commercial AI algorithms that are trained on older generation data enter healthcare.
Keyphrases
- deep learning
- artificial intelligence
- pulmonary embolism
- dual energy
- computed tomography
- big data
- image quality
- machine learning
- convolutional neural network
- healthcare
- inferior vena cava
- positron emission tomography
- resistance training
- contrast enhanced
- middle aged
- body composition
- magnetic resonance
- high intensity
- community dwelling
- health insurance