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Review
. 2023 Jan 4:12:998222.
doi: 10.3389/fonc.2022.998222. eCollection 2022.

Artificial intelligence assists precision medicine in cancer treatment

Jinzhuang Liao  1 , Xiaoying Li  1 , Yu Gan  1 , Shuangze Han  1 , Pengfei Rong  1   2 , Wei Wang  1   2 , Wei Li  1   2 , Li Zhou  1   2   3
Affiliations
Review

Artificial intelligence assists precision medicine in cancer treatment

Jinzhuang Liao et al. Front Oncol. .

Abstract

Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the same drugs or surgical methods in patients with the same tumor may have different curative effects, leading to the need for more accurate treatment methods for tumors and personalized treatments for patients. The precise treatment of tumors is essential, which renders obtaining an in-depth understanding of the changes that tumors undergo urgent, including changes in their genes, proteins and cancer cell phenotypes, in order to develop targeted treatment strategies for patients. Artificial intelligence (AI) based on big data can extract the hidden patterns, important information, and corresponding knowledge behind the enormous amount of data. For example, the ML and deep learning of subsets of AI can be used to mine the deep-level information in genomics, transcriptomics, proteomics, radiomics, digital pathological images, and other data, which can make clinicians synthetically and comprehensively understand tumors. In addition, AI can find new biomarkers from data to assist tumor screening, detection, diagnosis, treatment and prognosis prediction, so as to providing the best treatment for individual patients and improving their clinical outcomes.

Keywords: artificial intelligence; cancer; medical imaging; omics; precision medicine.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Possible changes caused by AI injection into clinical practice.
Figure 2
Figure 2
Application prospect of AI in tumor.
Figure 3
Figure 3
The role of artificial intelligence based on omics database in tumor precision medicine.
Figure 4
Figure 4
The role of artificial intelligence based on medical images (digital pathological image and medical imaging) in tumor precision medicine.
See this image and copyright information in PMC

References

    1. Bray F, Ren JS, Masuyer E, Ferlay J. Global estimates of cancer prevalence for 27 sites in the adult population in 2008. Int J Cancer (2013) 132(5):1133–45. doi: 10.1002/ijc.27711 - DOI - PubMed
    1. Torre LA, Siegel RL, Ward EM, Jemal A. Global cancer incidence and mortality rates and trends–an update. Cancer Epidemiol Biomarkers Prev (2016) 25(1):16–27. doi: 10.1158/1055-9965.EPI-15-0578 - DOI - PubMed
    1. Consortium, I.T.P.-C.A.o.W.G . Pan-cancer analysis of whole genomes. Nature (2020) 578(7793):82–93. - PMC - PubMed
    1. MacEachern SJ, Forkert ND. Machine learning for precision medicine. Genome (2021) 64(4):416–25. doi: 10.1139/gen-2020-0131 - DOI - PubMed
    1. Gore JC. Artificial intelligence in medical imaging. Magn Reson Imaging (2020) 68:A1–4. doi: 10.1016/j.mri.2019.12.006 - DOI - PubMed

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