Application and research progress of artificial intelligence combined with spectral diagnosis technology in the identification of lung cancer tissues

doi:10.3969/j.issn.1006-7795.2023.06.028

Abstract

Abstract: To systematically review the current research on spectral technology in the identification of lung cancer tissues and the application of artificial intelligence, to clarify the clinical application value and development direction of artificial intelligence combined with spectral diagnosis technology. Pubmed and CNKI databases were searched via using a specific strategy, and the better performing spectral techniques in the field of pathological diagnosis were summarized and briefly compared. The current mainstream spectral techniques include hyperspectral imaging, diffuse reflectance spectroscopy, Raman spectroscopy, fluorescence spectroscopy, and multispectral techniques.Artificial intelligence can further enhance the diagnostic performance of spectral techniques. Artificial intelligence combined with spectral diagnosis has the potential to realize the instant differentiation of lung cancer invasion degree, but most of the current research is still at the stage of differentiating benign and malignant tumors and determining the tumor boundary.

Key words: lung cancer, artificial intelligence, spectral technology, rapid diagnosis

CLC Number:

R734.2

Luo Yi, Qin Qi, Wang Peihao, Guo Kangshun, Zhang Xinping, Cui Yong. Application and research progress of artificial intelligence combined with spectral diagnosis technology in the identification of lung cancer tissues[J]. Journal of Capital Medical University, 2023, 44(6): 1095-1102.

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URL: https://journal03.magtech.org.cn/Jweb_sdykdxxb/EN/10.3969/j.issn.1006-7795.2023.06.028

https://journal03.magtech.org.cn/Jweb_sdykdxxb/EN/Y2023/V44/I6/1095

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