Development of Deep Learning Models for Real-Time Thoracic Ultrasound Image Interpretation

Development of Deep Learning Models for Real-Time Thoracic Ultrasound Image Interpretation

Thoracic injuries account for a high percentage of combat casualty mortalities, with 80% of preventable deaths resulting from abdominal or thoracic hemorrhage. An effective method for detecting and triaging thoracic injuries is point-of-care ultrasound (POCUS), as it is a cheap and portable noninvas...

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Bibliographic Details
Main Authors: Austin J. Ruiz, Sofia I. Hernández Torres, Eric J. Snider
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Journal of Imaging
Subjects:
ultrasound imaging
artificial intelligence
deep learning
thoracic
emergency medicine
trauma
Online Access:https://www.mdpi.com/2313-433X/11/7/222
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