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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Vydáno v:	Journal of digital imaging Ročník 36; číslo 5; s. 2035 - 2050
Hlavní autoři:	Leo, Megan M, Potter, Ilkay Yildiz, Zahiri, Mohsen, Vaziri, Ashkan, Jung, Christine F, Feldman, James A
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Springer Nature B.V 01.10.2023
Témata:	Adult Algorithms Deep Learning Focused Assessment with Sonography for Trauma - methods Hemoperitoneum Hemoperitoneum - diagnostic imaging Hemorrhage Humans Image processing Latency Localization Machine learning Object recognition Point of care testing 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:	0897-1889, 1618-727X, 1618-727X
On-line přístup:	Získat plný text
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