Innovative Research on the Integration of Traditional Chinese Medicine and Artificial Intelligence for the Treatment of Herpes Zoster

Shuhua Yang; Jianbo Li; Xianqing Zhao; Zhong Lu; Zhengyi Yang

doi:10.62051/ijphmr.v2n1.14

Authors

Shuhua Yang
Jianbo Li
Xianqing Zhao
Zhong Lu
Zhengyi Yang

DOI:

https://doi.org/10.62051/ijphmr.v2n1.14

Keywords:

Herpes zoster, Traditional Chinese medicine, Artificial intelligence, Big data, Personalized treatment

Abstract

Herpes zoster is a skin disease caused by the varicella-zoster virus (VZV), primarily manifesting as painful skin rashes in localized areas. Traditional Chinese medicine has a long history of treating herpes zoster, and the integration of modern artificial intelligence (AI) technologies holds promise for further enhancing treatment efficacy. This study aims to construct an AI-based traditional Chinese medicine treatment plan by analyzing large-scale clinical data and traditional medical literature to establish individualized diagnostic models. The experimental results demonstrate that this method effectively shortens the disease course and reduces the incidence of complications. Additionally, the study reveals the mechanisms of action of various components of traditional Chinese medicine in treatment, providing a basis for further optimization of treatment plans. This innovative integration approach not only improves treatment precision but also offers a new paradigm for combined traditional and Western medicine treatment. This paper not only showcases the potential of AI in the field of traditional Chinese medicine but also provides new insights into the treatment of herpes zoster.

References

[1] Arvin, A. M., Marston, H. D., Garg, S., Fry, A. M., Methot, S., Xie, F., ... & CDC COVID-19 Response Team. (2020). Severe Outcomes Among Patients with Coronavirus Disease 2019 (COVID-19) — United States, February 12–March 16, 2020. MMWR. Morbidity and mortality weekly report, 69(12), 343.

[2] Gélinas, I., Johnston, C., & Lavoie, K. L. (2017). Herpes zoster and postherpetic neuralgia: incidence and risk indicators using a UK primary care database. British Journal of Dermatology, 176(2), 456-465.

[3] Gilden, D. H., Kleinschmidt-DeMasters, B. K., LaGuardia, J. J., Mahalingam, R., & Cohrs, R. J. (2000). Neurologic complications of the reactivation of varicella-zoster virus. New England Journal of Medicine, 342(9), 635-645.

[4] Leung, J., Harpaz, R., Molinari, N. A., Jumaan, A., & Zhou, F. (2011). Herpes zoster incidence among insured persons in the United States, 1993–2006: evaluation of impact of varicella vaccination. Clinical Infectious Diseases, 52(3), 332-340.

[5] Oxman, M. N., Levin, M. J., Johnson, G. R., Schmader, K. E., Straus, S. E., Gelb, L. D., ... & Simberkoff, M. S. (2005). A vaccine to prevent herpes zoster and postherpetic neuralgia in older adults. New England Journal of Medicine, 352(22), 2271-2284.

[6] Schmader, K. E. (2001). Herpes zoster in older adults. Clinical Infectious Diseases, 32(12), 1695-1700.

[7] Whitley, R. J., Weiss, H., Gnann, J. W., Tyring, S., Mertz, G. J., Pappas, P. G., ... & Schmader, K. E. (1998). Acyclovir with and without prednisone for the treatment of herpes zoster: a randomized, placebo-controlled trial. Annals of Internal Medicine, 129(2), 92-100.

[8] Smith, J. D., & Johnson, A. B. (2019). Advanced Techniques in Machine Learning for Healthcare Applications. Journal of Medical Informatics, 45(3), 289-301.

[9] Li, X., Wang, Y., & Zhang, H. (2020). The Application of Big Data Analytics in Traditional Chinese Medicine Research. Evidence-Based Complementary and Alternative Medicine, 7(2), 156-178.

[10] Brown, C. A., & Green, M. L. (2021). Personalized Medicine: Utilizing AI in Treatment Planning. Medical Innovation Journal, 35(1), 45-60.

[11] Chen, L., Liu, Q., & Zhao, F. (2018). Mechanisms of Herpes Zoster and Its Complications. Journal of Virology Research, 22(4), 315-328.

[12] Wu, Y., & Wang, X. (2017). Traditional Chinese Medicine Therapies for Herpes Zoster: A Review. Complementary Therapies in Medicine, 30(2), 89-102.

[13] Peterson, S. M., & Miller, R. G. (2019). Artificial Intelligence in Drug Discovery and Development. Drug Discovery Today, 24(5), 1112-1120.

[14] Zhang, Y., Li, Y., & Chen, H. (2020). The Integration of Traditional Chinese Medicine and Modern Technology: A New Paradigm. Frontiers in Pharmacology, 11, 895.

[15] Thompson, R. J., & Davis, K. L. (2018). The Role of Immunosenescence in Herpes Zoster Pathogenesis. Aging and Disease, 9(3), 431-440.

[16] Wang, J., & Liu, Z. (2021). Applications of Deep Learning in Medical Image Diagnosis. Journal of Medical Imaging Science, 38(1), 56-70.

[17] Kim, S. H., & Park, S. J. (2017). Advances in Herpes Zoster Treatment: Current and Future Perspectives. International Journal of Infectious Diseases, 58(2), 101-110.