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. 2022 Mar 23:2022:6505672.
doi: 10.1155/2022/6505672. eCollection 2022.

Evaluation of the Effect of Comprehensive Nursing Interventions on Plaque Control in Patients with Periodontal Disease in the Context of Artificial Intelligence

Juan Xu  1 , Lingling Wang  2 , Hongxia Sun  3 , Shanshan Liu  4
Affiliations

Evaluation of the Effect of Comprehensive Nursing Interventions on Plaque Control in Patients with Periodontal Disease in the Context of Artificial Intelligence

Juan Xu et al. J Healthc Eng. .

Retraction in

Abstract

Plaque is a bacterial biofilm that adheres to each other and exists on the tooth surface, and new plaque can continuously reform after removing it from the tooth surface. The pathogenesis of periodontal disease is related to the bacteria, the host and the environment, with the bacteria and bacterial products in plaque being the main initiators of periodontal disease. The effective control of plaque is an effective method for the treatment and prevention of periodontal disease and is often underappreciated in clinical practice. For the traditional diagnostic method through experience and visual observation, it may lead to misdiagnosis and underdiagnosis. In order to accurately diagnose plaque disease, this study designed a convolutional neural network-based oral dental disease diagnosis system for oral care interventions to improve oral health awareness. Thus motivate patients to implement proper oral health care measures, and continuously and lifelong insist on thorough daily plaque removal to improve patients' physical health and quality of life in periodontal disease patients.

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Conflict of interest statement

The authors declare that he has no conflicts of interest.

Figures

Figure 1
Figure 1
Dental plaque in Google global hot trend.
Figure 2
Figure 2
Main characteristics and visualization of dental plaque.
Figure 3
Figure 3
Convolutional neural network structure.
Figure 4
Figure 4
Model structure.
Figure 5
Figure 5
Intelligent diagnostic architecture.
See this image and copyright information in PMC

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