Contribution of artificial intelligence and big data in a medical biology laboratory: An experience of the central laboratory CHU Mohammed VI Oujda

Yahyaoui, A.; Zrouri, H.; Hamdani, O.; Azizi, W.; Sbibih, Y.; Harrandou, M.; Saddari, A.; Sebbar, E.; Choukri, Mohammed

doi:10.1016/j.matpr.2022.09.134

Cited by 3 publications

(1 citation statement)

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“…AI uses various algorithms for machine learning and deep learning, including support vector machine (SVM), Bayesian network, artificial neural networks (ANNs), random forest (RF), convolutional neural networks (CNNs) and more (Santos et al, 2021;Yang et al, 2022). Over recent decades, AI has made significant breakthroughs in various fields, such as finance (Ahmed et al, 2022), traffic (Shaygan et al, 2022), electrical automation (Sami, 2022), medical care (Yahyaoui et al, 2023), biomedical research and others (Diakiw et al, 2022). Notably, the application of AI in TCM industry has become increasingly prevalent in recent years.…”

Section: Introductionmentioning

confidence: 99%

Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review

Zhou,

Shen,

Hou

2024

Front. Pharmacol.

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Traditional Chinese medicine (TCM) is the practical experience and summary of the Chinese nation for thousands of years. It shows great potential in treating various chronic diseases, complex diseases and major infectious diseases, and has gradually attracted the attention of people all over the world. However, due to the complexity of prescription and action mechanism of TCM, the development of TCM industry is still in a relatively conservative stage. With the rise of artificial intelligence technology in various fields, many scholars began to apply artificial intelligence technology to traditional Chinese medicine industry and made remarkable progress. This paper comprehensively summarizes the important role of artificial intelligence in the development of traditional Chinese medicine industry from various aspects, including new drug discovery, data mining, quality standardization and industry technology of traditional Chinese medicine. The limitations of artificial intelligence in these applications are also emphasized, including the lack of pharmacological research, database quality problems and the challenges brought by human-computer interaction. Nevertheless, the development of artificial intelligence has brought new opportunities and innovations to the modernization of traditional Chinese medicine. Integrating artificial intelligence technology into the comprehensive application of Chinese medicine industry is expected to overcome the major problems faced by traditional Chinese medicine industry and further promote the modernization of the whole traditional Chinese medicine industry.

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