The American journal of emergency medicine
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Multicenter Study Comparative Study
Comparison of initial adenosine dose conversion rate for supraventricular tachycardia in the emergency department.
To evaluate the rate of supraventricular tachycardia (SVT) termination between 6 mg and 12 mg initial adenosine doses. ⋯ A higher rate of SVT termination was observed with an initial adenosine dose of 12 mg in the ED in comparison to the guideline recommended dose of 6 mg. There were no significant differences in adverse effects observed.
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Lisfranc injuries are uncommon but frequently misdiagnosed and carry a high rate of morbidity. ⋯ The consideration of Lisfranc injuries can help emergency clinicians make a timely diagnosis to prevent future complications.
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Case Reports
A ruptured bronchial artery aneurysm presenting with neurological symptoms: A case report.
A 72-year-old man visited the emergency department with chief complaints of dizziness and dysarthria. Initially, a stroke was strongly suspected and brain computed tomography (CT) and neck CT angiography were performed; however, a ruptured bronchial artery aneurysm (BAA) was observed. BAA is a rare disease and usually asymptomatic but can be life-threatening. Patients with a ruptured BAA may present with hypovolemic shock, causing symptoms such as suspected cerebrovascular disease due to decreased cerebral blood flow.
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Artificial intelligence (AI) is becoming increasingly integral in clinical practice, such as during imaging tasks associated with the diagnosis and evaluation of blunt chest trauma (BCT). Due to significant advances in imaging-based deep learning, recent studies have demonstrated the efficacy of AI in the diagnosis of BCT, with a focus on rib fractures, pulmonary contusion, hemopneumothorax and others, demonstrating significant clinical progress. ⋯ Here, we provide a review of the available evidence surrounding the potential utility of AI in BCT, and additionally identify the challenges impeding its development. This review offers insights on how to optimize the role of AI in the diagnostic evaluation of BCT, which can ultimately enhance patient care and outcomes in this critical clinical domain.