Nursing Research of Optic Canal Decompression Operation under Nasal Endoscopic Medical Treatment Based on Intelligent Internet of Things for Traumatic Vision Disorders

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Abstract

Traumatic vision is an important factor that causes people to have a vision. In our country, the vast majority of vision is caused by trauma. To understand the role of optic nerve decompression in the treatment of traumatic visual disturbances based on the pathological states of traumatic visual disturbances and intelligent Internet of tumors medical nasal endoscopy optic nerve decompression. This article collects relevant information by investigating patients, investigating relevant literature, interviewing professionals, etc., constructing a case template and using a comprehensive quantitative and qualitative analysis method to create a damage assessment matrix. The results of the study found that most traumatic vision disorders occur in the young and middle-aged stage, which is more than three times that of other age groups. The permanent blindness rate of patients reaches 8%, which is extremely harmful. Optic canal decompression surgery can play a great role in the treatment of patients. It can greatly reduce the patient's neurological damage. The effect is about 30% higher than that of general treatment methods, and it can also play a certain role in the prognosis of rehabilitation. It can effectively prevent related postoperative complications. This shows that optic canal decompression in the treatment of traumatic vision disorders should attract people's attention and increase research and development efforts and promotion efforts so that optic canal decompression can be used in the diagnosis and treatment of patients with traumatic vision disorders based on smart Internet of things China can play a greater role.

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APA

Liu, Y., Zhao, Y., Gong, X., & Zhang, Y. (2021). Nursing Research of Optic Canal Decompression Operation under Nasal Endoscopic Medical Treatment Based on Intelligent Internet of Things for Traumatic Vision Disorders. Journal of Healthcare Engineering, 2021. https://doi.org/10.1155/2021/9999863

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