with artificial intelligence to detect covid-19 in 2D lung ultrasound scans and quantify the severity of the disease

* * 公众概述 ** 该项目是将超声作为一种筛查工具与人工智能相结合，以检测肺部超声扫描中的COVID-19症状，并帮助医生了解患者的风险有多大。它也可以用来监测病人的疾病进展。CT扫描已被证明优于其他一些诊断测试，以诊断冠状病毒，但当病人需要采取X光或CT扫描，他们有可能将疾病传播给其他病人和其他照顾他们的医生。意大利的医生发现，冠状病毒可以通过肺部超声检测出来。超声是这是一种非常便携的检查病人肺部的方法，当病人第一次来到医院时，护士也可以很容易地操作它来判断病人的危险程度。超声波也可以在病人床边使用。这意味着可以快速做出决定，而患者不会暴露在其他患者和/或医生面前，因此有助于对个体患者的治疗和感染控制。目前肺部超声的问题是图像仍然必须由人进行分析，人们会犯错误，需要时间做事情，并且会感到疲劳。如果一个算法可以与医生和护士一起工作，它将提高他们的工作速度和质量。证明冠状病毒可以在肺部超声图像中自动检测2。想办法推销这种产品。找到一家医院来帮助提供数据并证明算法的有效性如果这个项目成功的话，这可能是一个非常有用的工具，可以帮助医生和护士用更少的资源做更多的事情。让肺部超声对医生更有用，对抗击冠状病毒大流行非常有帮助。由于该项目是基于软件的，因此其他医院和护理提供者很容易利用这些好处。这对于更多的农村医疗机构也可能非常有用，因为这些机构可能不容易获得解释这些图像的专业知识。

**Public overview**This project is to augment ultrasound as a screening tool with artificial intelligence to detect covid-19 symptoms in lung ultrasound scans and help doctors understand how risky patients are. It can also be used to monitor the progression of a patients' disease.CT scanning has been shown to outperform some of the other diagnostic tests to diagnoses corona virus but when a patient needs to be taken for an X-ray or CT scan, they are at risk for spreading the disease to other patients and the other doctors who look after them.Doctors in Italy found that corona virus can be detected using lung ultrasound.Ultrasound is a very portable way of checking patients' lungs and it can also be operated easily by nurses when a patient first comes into the hospital to decide how risky the patient is. Ultrasound can also be used next to the patient's bedside. This means decisions can be made quickly whilst the patient is not as exposed to other patients and / or doctors and so helps with both treatment for the individual patient and infection control.The current issue with lung ultrasound is that the image must still be analysed by a person, and people make mistakes, take time to do things, and get tired. If an algorithm can work alongside the doctors and nurses, it will improve the speed and quality of their work.This project has three objectives:1. To prove that corona virus can be automatically detected in lung ultrasound images2. To find a way to market this product3. To find a hospital to help supply data and demonstrate the algorithm worksIf this project is successful, this can potentially be a very useful tool to help doctors and nurses do a lot more with less resources. Making lung ultrasound more useful for doctors can be very helpful in the fight against this corona virus pandemic. As this project is software based, it will be very easy for other hospitals and care providers to take advantage of the benefits. This is also potentially very useful for more rural healthcare settings where the expertise to interpret these images may not be easy to access.