Influence of acupoint massage and predictive nursing on patients with fiber bronchoscopy based on image processing.

This paper studied the effect of acupoint massage combined with predictive nursing based on image processing on fiberoptic bronchoscopy patients. In order to achieve this goal, this paper constructs an image recognition and processing system, which uses deep convolutional neural network to learn more robust advanced image features from original image data, so as to improve the performance and effect of digital image processing and computer vision. With this system, health care workers will be able to more efficiently judge medical images and identify appropriate treatments. In the experiment, patients in the control group took routine nursing measures, and patients in the experimental group used nano-antibacterial materials for acupoint massage, combined with predictive nursing methods. Research shows that, compared with conventional surgery, the nursing method in this paper pays more attention to the patient's own psychological state, which can help the patient cope with the treatment calmly, establish the correct bronchoscopy treatment concept, and teach the patient to correctly cooperate with the doctor during the operation to ensure the smooth operation process. This nursing method can improve the optimal therapeutic effect of fiberoptic bronchoscopy. [ABSTRACT FROM AUTHOR]