Abstract
In the wave of global technological development, artificial intelligence technology is developing very rapidly [1]. Image recognition technology, a core aspect of AI technology, is also becoming more and more popular in people's daily lives [2]. If the healthcare industry takes advantage of the new technology, it will greatly contribute to the development of healthcare services. The global trend towards ageing is evident, and in China, the elderly are often treated with intravenous injections. Currently, venipuncture needle extraction compressions are still performed manually to stop bleeding. However, the compression component is often not valued by healthcare professionals and elderly patients [3]. Chronic geriatric patients also suffer from subcutaneous bruising as a result of their own illnesses and the ageing of their bodies, such as problems with skin laxity and poor vascular elasticity, as well as incorrect methods of compression to stop bleeding [4]. To reduce patient discomfort and improve patient satisfaction with hospital services, it is necessary to design a smart hemostat in conjunction with new technology.
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Fu, M., Luo, J. (2022). Design of an Intelligent Intravenous Infusion Hemostat for Elderly Patients with Chronic Diseases Based on Image Recognition Technology. In: Duffy, V.G. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Health, Operations Management, and Design. HCII 2022. Lecture Notes in Computer Science, vol 13320. Springer, Cham. https://doi.org/10.1007/978-3-031-06018-2_3
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