Evaluation of Deep Learning Model Architectures for Point-of-Care Ultrasound Diagnostics
Sofia I. Hernandez Torres,
Austin Ruiz,
Lawrence Holland
et al.
Abstract:Point-of-care ultrasound imaging is a critical tool for patient triage during trauma for diagnosing injuries and prioritizing limited medical evacuation resources. Specifically, an eFAST exam evaluates if there are free fluids in the chest or abdomen but this is only possible if ultrasound scans can be accurately interpreted, a challenge in the pre-hospital setting. In this effort, we evaluated the use of artificial intelligent eFAST image interpretation models. Widely used deep learning model architectures we… Show more
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