Artificial intelligence in cardiovascular imaging—principles, expectations, and limitations
The arrival of artificial intelligence (AI) in cardiovascular medicine has introduced many new words and concepts to our dictionary. AI is already being used as part of medical software to streamline repetitive workflows (e.g. to automate segmentation of anatomical structures in medical imaging) and...
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| Format: | Journal article |
| Language: | English |
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Oxford University Press
2021
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| Summary: | The arrival of artificial intelligence (AI) in cardiovascular medicine has introduced many new words and concepts to our dictionary. AI is already being used as part of medical software to streamline repetitive workflows (e.g. to automate segmentation of anatomical structures in medical imaging) and to assist in the interpretation of medical findings (e.g. identification of abnormalities on chest X-rays, dysrhythmias on electrocardiograms, heart sounds using electronic stethoscopes), pushing the boundaries of medical diagnostics by supplementing the visible abnormalities with a deeper and more comprehensive analysis of clinical data through advanced feature extraction methods and advanced machine learning (ML) analytics.
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