Publications by authors named "N A Castle"

A virtual model of the rhesus macaque inner ear was created in the present study. Rhesus macaques have been valuable in cochlear research; however, their high cost prompts a need for alternative methods. Finite Element (FE) analysis offers a promising solution by enabling detailed simulations of the inner ear.

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Objectives: ST-elevation myocardial infarction (STEMI) is an Acute Myocardial Infarction (AMI) with the greatest risk of death and disability. Getting diagnosed patients rapid definitive treatment at the correct facility is crucial in improving their outcome. Using a Question-and-Answer algorithm (Mobile Priority Dispatch System (MPDS)), trained Emergency Medical Dispatchers (EMDs) can help identifying STEMI at the time of dispatch.

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Background: The global evolution of pre-hospital care systems faces dynamic challenges, particularly in multinational settings. Machine learning (ML) techniques enable the exploration of deeply embedded data patterns for improved patient care and resource optimisation. This study's objective was to accurately predict cases that necessitated transportation versus those that did not, using ML techniques, thereby facilitating efficient resource allocation.

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Article Synopsis
  • The study investigates the time it takes for an ambulance to become ready for the next case after dispatch, focusing on differences between patients transported and those not transported.
  • Data from over 93,000 emergency calls were analyzed using statistical models to understand factors affecting this response time, revealing that transported patients took longer to be ready than those not transported.
  • The findings suggest that demographic variables impact readiness times and highlight the need for further research to improve ambulance service efficiency in various contexts.
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