Machine Learning in Point of Care Ultrasound
When a patient presents to the ED, clinicians often turn to medical imaging to better understand their condition. Traditionally, imaging is collected from the patient and interpreted by a radiologist remotely. However, scanning devices are increasingly equipped with analytical software that can pro...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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CINQUILL Medical Publishers Inc.
2022-02-01
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| Series: | POCUS Journal |
| Subjects: | |
| Online Access: | https://ojs.library.queensu.ca/index.php/pocus/article/view/15345 |
| Summary: | When a patient presents to the ED, clinicians often turn to medical imaging to better understand their condition. Traditionally, imaging is collected from the patient and interpreted by a radiologist remotely. However, scanning devices are increasingly equipped with analytical software that can provide quantitative assessments at the patient’s bedside. These assessments often rely on machine learning algorithms as a means of interpreting medical images.
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| ISSN: | 2369-8543 |