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 prov...
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| Main Authors: | , , |
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| Format: | Book |
| Published: |
CINQUILL Medical Publishers Inc.,
2022-02-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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| 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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| Item Description: | 10.24908/pocus.v7iKidney.15345 2369-8543 |