I-Corps: Portable Automated Intravenous Injector

这个i-Corps项目的更广泛的影响/商业潜力是开发一种便携式自动静脉注射器，用于在医院外的医疗紧急情况下方便快捷地输送药物和静脉注射(IV)。据估计，每年有超过35万人在医院外遭受心脏骤停，而大约只有10%的人幸存下来。数据显示，自动体外除颤器(AED)的使用每年挽救了1600多人。拟议的便携式自动静脉注射器将补充现有的AEDs，AEDs是普遍存在的。据估计，在紧急情况下，如果肾上腺素或其他药物与AED联合使用，可以挽救大约20%的生命。拟议的设备可能允许未经培训的操作员按照美国心脏协会(AHA)的指导方针注射救援药物，方法是使用不需要广泛医学知识的专有学习算法。据估计，这种设备的市场规模约为50亿美元，是对AED市场的补充。全球静脉注射的市场规模估计约为110亿美元，其中包括医院血液采样、药物注射和其他应用的邻近市场。这个I-Corps项目是基于便携式自动静脉注射器的开发，这是一种智能注射设备，可以感知静脉的位置和深度，并使用从机器学习和大数据组合得出的算法来注射预设和安全剂量的药物(在本申请中是肾上腺素)。当连接到前臂时，所提出的技术能够自动找到注射毒品的静脉的位置和深度。它有两个自由度。一种是沿着前臂的宽度移动，第二种是将针插入静脉内。这项拟议的技术使用超声波和红外线来定位和发现静脉的深度。它利用人工智能算法准确地检测静脉的位置，并评估患者的紧急情况。该系统的设计是通过使用和试用阶段继续学习，随着数据不断构建系统，随着时间的推移，它会继续变得更“智能”和更准确。历史数据可能会被进一步挖掘，以便更明智地洞察心脏护理决策。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this I-Corps project is the development of a portable automated intravenous injector for easy and fast drug delivery and intravenous (IV) access in medical emergencies outside of the hospital. Each year, it is estimated that more than 350,000 people suffer from sudden cardiac arrest outside of the hospital and roughly only 10% survive. Data show that the use of Automated External Defibrillators (AEDs) save more than 1600 people each year. The proposed portable automated intravenous injector would complement existing AEDs, which are widespread and commonly available. It is estimated that in emergency situations roughly 20% more lives could be saved if epinephrine or other drugs are used in conjunction with an AED. The proposed device may allow a non-trained operator to inject rescue medication following the American Heart Association (AHA) guidelines, by using a proprietary learning algorithm that will not require extensive medical knowledge. It is estimated that the market size is around $5B for such a device that is complementary to the AED market. The global market size for intravenous access is estimated to about $11B including adjacent markets in hospital blood sampling, drug injection and other applications. This I-Corps project is based on the development of a portable automated intravenous injector, which is a smart injection device that senses the location and depth of a vein and injects a preset and safe dosage of a drug (in this application, epinephrine) using an algorithm derived from a combination of machine learning and big data. When attached to the forearm, the proposed technology is able to find the location and depth of the vein for drug injection automatically. It has two degrees of freedom. One is to move along the width of the forearm, and the second is to insert the needle inside the vein. The proposed technology uses ultrasound along with infrared light to locate and find the depth of the vein. It leverages Artificial intelligence algorithms to accurately detect the location of the vein and evaluate the patient's emergency. The system is designed to continue to learn through the usage and trial phase, and as data continues to build the system it continues to get “smarter” and more accurate over time. The historical data may be mined further to allow for smarter insights into cardiac care decisions.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.