PHD Candidate

- - Werken bij Radboudumc - Schaal 10A - Bepaalde tijd - €3.217 - €4.077 - Sluit op 24-11-2026 - 4 jaar - Research - 36 uur PhD Candidate 'AI-Driven Handheld Ultrasound for Military Trauma Care' - Schaal 10A - 4 jaar - Bepaalde tijd - Research - €3.217 - €4.077 - 36 uur - Sluit op 24-11-2026 Do you want to develop artificial intelligence for medical imaging to improve care for injured military personnel? Military trauma care takes place under challenging conditions. During military operations, medical resources may be limited, specialist expertise may not always be available, and evacuation to a hospital may take hours or even days. Under these circumstances, healthcare providers must be able to rapidly and reliably identify a patient's injuries and determine the treatment required. Rapid diagnostics can be lifesaving. Ultrasound offers significant opportunities in this regard. Portable ultrasound equipment enables healthcare providers to examine patients at the point of care, without relying on extensive diagnostic facilities. One important application is the Extended Focused Assessment with Sonography in Trauma (EFAST), which can be used to detect signs of internal bleeding and pneumothorax, among other conditions. However, performing and interpreting ultrasound examinations requires specific knowledge and experience, which may not be readily accessible in forward-deployed medical treatment facilities. This is the central challenge of this PhD research project. Ultrasound offers valuable opportunities for rapid, portable diagnostics in military trauma care, particularly in forward-deployed settings where access to advanced diagnostic equipment and specialised expertise may be limited. You will investigate how artificial intelligence can support military healthcare providers in acquiring and interpreting ultrasound images. The research will start by exploring existing AI-assisted ultras...

- - 在Radboudumc工作 - 薪级10A - 固定期限 - €3.217 - €4.077 - 截止日期2026年11月24日 - 4年 - 研究 - 36小时 博士候选人“AI驱动的手持超声用于军事创伤护理” - 薪级10A - 4年 - 固定期限 - 研究 - €3.217 - €4.077 - 36小时 - 截止日期2026年11月24日 你想为医学影像开发人工智能，以改善受伤军事人员的护理吗？军事创伤护理在充满挑战的条件下进行。在军事行动期间，医疗资源可能有限，专科专业知识可能并非总能获得，而撤离到医院可能需要数小时甚至数天。在这种情况下，医疗服务提供者必须能够快速可靠地识别患者的伤情并确定所需的治疗。快速诊断可以挽救生命。超声在这方面提供了重要机会。便携式超声设备使医疗服务提供者能够在护理现场检查患者，而无需依赖大型诊断设施。一个重要的应用是创伤超声扩展重点评估（EFAST），可用于检测内出血和气胸等状况的迹象。然而，执行和解读超声检查需要特定的知识和经验，而这些在前沿部署的医疗治疗设施中可能并不容易获得。这是本博士研究项目的核心挑战。超声为军事创伤护理中的快速、便携诊断提供了宝贵机会，尤其是在获取先进诊断设备和专业知识可能受限的前沿部署环境中。你将研究人工智能如何支持军事医疗服务提供者获取和解读超声图像。该研究将首先探索现有的AI辅助超声……

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