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Application of computer-based diagnostic light enhanced medical imaging in the analysis of infection factors in oral and maxillofacial surgery

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Abstract

The distribution of nerve veins in oral and maxillofacial region is very rich and connected with many parts of the body. Once the infection occurs behind the mouth and maxilla, the effects will be widespread. Therefore, this study aims to explore the application of light enhanced medical imaging technology based on computer diagnosis in the analysis of infection factors in oral and maxillofacial surgery to improve the ability of early diagnosis and accurate treatment. The oral and maxillofacial surgical infection was recorded by using light enhanced medical imaging. The clinical data of patients were collected and analyzed, and the images were processed by computer diagnostic technology. It was found that the relaxation factor λ was 0.5 and the number of iterations was 25 times to improve the accuracy. Studies have also shown that plasma fibrin has an advantage in predicting oral infections. This study demonstrated the potential application value of light enhanced medical imaging technology based on computer diagnosis in the analysis of infection factors in oral and maxillofacial surgery. This technique is helpful for early diagnosis and accurate treatment of oral and maxillofacial surgical infection, improving the treatment effect and quality of life of patients. Further research should also consider expanding the sample size and improving the accuracy of the analysis algorithm.

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Funding

This paper was supported by Hospital Infection Prevention and Control Research Fund of Sichuan Provincial Preventive Medical Association (SCGK202121).

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YJ has done the first version, LP, LQ, SL, ZH and TZ has done the simulations. All authors have contributed to the paper’s analysis, discussion, writing, and revision.

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Correspondence to Tan Zhi.

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**g, Y., **, L., Qirong, L. et al. Application of computer-based diagnostic light enhanced medical imaging in the analysis of infection factors in oral and maxillofacial surgery. Opt Quant Electron 56, 349 (2024). https://doi.org/10.1007/s11082-023-06026-7

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