论文标题
使用图像分析和自然语言处理的皮肤病诊断
Skin disease diagnosis using image analysis and natural language processing
论文作者
论文摘要
在赞比亚，医务人员严重短缺，每位从业人员在给定地区约有17000名患者，而其他患者则会旅行10公里以上，以获得基本的医疗服务。在这项研究中，我们实施了一个可以执行临床诊断过程的深度学习模型。该研究将证明图像分析是否能够进行临床诊断。这也将使我们能够了解是否可以使用图像分析来减轻医生的工作量，从而降低某些任务。这项研究的成功有可能增加对赞比亚人的医疗服务的可及性，这是2030年愿景的国家目标之一。
In Zambia, there is a serious shortage of medical staff where each practitioner attends to about 17000 patients in a given district while still, other patients travel over 10 km to access the basic medical services. In this research, we implement a deep learning model that can perform the clinical diagnosis process. The study will prove whether image analysis is capable of performing clinical diagnosis. It will also enable us to understand if we can use image analysis to lessen the workload on medical practitioners by delegating some tasks to an AI. The success of this study has the potential to increase the accessibility of medical services to Zambians, which is one of the national goals of Vision 2030.
