I-Corps: Portable Automated Intravenous Injector

I-Corps项目的更广泛影响/商业潜力是开发一种便携式自动静脉注射器，以便在医院外的医疗紧急情况下方便快速地给药和静脉注射。据估计，每年有超过35万人在医院外遭受心脏骤停，大约只有10%的人存活下来。数据显示，使用自动体外除颤器（aed）每年可挽救1600多人的生命。拟议的便携式自动静脉注射器将补充现有的aed， aed是广泛和普遍可用的。据估计，在紧急情况下，如果肾上腺素或其他药物与AED一起使用，大约可以挽救20%以上的生命。该设备可以允许未经训练的操作员根据美国心脏协会（AHA）的指导方针注射抢救药物，通过使用专有的学习算法，不需要广泛的医学知识。据估计，这种设备的市场规模约为50亿美元，是AED市场的补充。静脉注射的全球市场规模估计约为110亿美元，包括医院血液采样、药物注射和其他应用的邻近市场。I-Corps项目的基础是开发一种便携式自动静脉注射器，这是一种智能注射设备，可以感知静脉的位置和深度，并使用机器学习和大数据相结合的算法注射预设安全剂量的药物（在本应用中为肾上腺素）。当连接到前臂时，该技术能够自动找到静脉注射的位置和深度。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。提出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来准确检测静脉的位置并评估患者的紧急情况。该系统旨在通过使用和试验阶段不断学习，随着数据不断构建系统，它会随着时间的推移而变得“更智能”和更准确。历史数据可以进一步挖掘，以便对心脏护理决策有更明智的见解。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值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.