Using Deep Learning to Detect the Presence and Location of Hemoperitoneum on the Focused Assessment with Sonography in Trauma (FAST) Examination in Adults

Abdominal ultrasonography has become an integral component of the evaluation of trauma patients. Internal hemorrhage can be rapidly diagnosed by finding free fluid with point-of-care ultrasound (POCUS) and expedite decisions to perform lifesaving interventions. However, the widespread clinical appli...

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Veröffentlicht in:	Journal of digital imaging Jg. 36; H. 5; S. 2035 - 2050
Hauptverfasser:	Leo, Megan M., Potter, Ilkay Yildiz, Zahiri, Mohsen, Vaziri, Ashkan, Jung, Christine F., Feldman, James A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.10.2023 Springer Nature B.V
Schlagworte:	Adult Algorithms Deep Learning Focused Assessment with Sonography for Trauma - methods Hemoperitoneum Hemoperitoneum - diagnostic imaging Hemorrhage Humans Image processing Imaging Latency Localization Machine learning Medicine Medicine & Public Health Object recognition Point of care testing Radiology Sensitivity Sensitivity and Specificity Trauma Ultrasonic imaging Ultrasonography Ultrasound Deep learning Point-of-care ultrasound Emergency ultrasound Artificial intelligence Trauma Focused Assessment with Sonography in Trauma
ISSN:	1618-727X, 0897-1889, 1618-727X
Online-Zugang:	Volltext
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