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Int J Med Sci 2023; 20(1):79-86. doi:10.7150/ijms.77205 This issue Cite

Review

Artificial intelligence in clinical decision support systems for oncology

Lu Wang1, Xinyi Chen1, Lu Zhang1, Long Li1, YongBiao Huang1, Yinan Sun2✉, Xianglin Yuan1✉

1. Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
2. Department of Cardiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.

✉ Corresponding authors: Xianglin Yuan, Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China. Address: Jie Fang road 1095, Wuhan, China. E-mail address: yuanxiangl More

Citation:
Wang L, Chen X, Zhang L, Li L, Huang Y, Sun Y, Yuan X. Artificial intelligence in clinical decision support systems for oncology. Int J Med Sci 2023; 20(1):79-86. doi:10.7150/ijms.77205. https://www.medsci.org/v20p0079.htm
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Abstract

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Artificial intelligence (AI) has been widely used in various medical fields, such as image diagnosis, pathological classification, selection of treatment schemes, and prognosis analysis. Especially in the image-aided diagnosis of tumors, the cooperation of human-computer interactions has become mature. However, the ethics of the application of AI as an emerging technology in clinical decision-making have not been fully supported, so the clinical decision support system (CDSS) based on AI technology has not fully realized human-computer interactions in clinical practice as the image-aided diagnosis system. The CDSS was currently used and promoted worldwide including Watson for Oncology, Chinese society of clinical oncology-artificial intelligence (CSCO AI) and so on. This paper summarized the applications and clarified the principle of AI in CDSS, analyzed the difficulties of AI in oncology decisions, and provided a reference scheme for the application of AI in oncology decisions in the future.

Keywords: AI, CDSS, WFO, tumor treatment, MDT

Citation styles

APA
Wang, L., Chen, X., Zhang, L., Li, L., Huang, Y., Sun, Y., Yuan, X. (2023). Artificial intelligence in clinical decision support systems for oncology. International Journal of Medical Sciences, 20(1), 79-86. https://doi.org/10.7150/ijms.77205.

ACS
Wang, L.; Chen, X.; Zhang, L.; Li, L.; Huang, Y.; Sun, Y.; Yuan, X. Artificial intelligence in clinical decision support systems for oncology. Int. J. Med. Sci. 2023, 20 (1), 79-86. DOI: 10.7150/ijms.77205.

NLM
Wang L, Chen X, Zhang L, Li L, Huang Y, Sun Y, Yuan X. Artificial intelligence in clinical decision support systems for oncology. Int J Med Sci 2023; 20(1):79-86. doi:10.7150/ijms.77205. https://www.medsci.org/v20p0079.htm

CSE
Wang L, Chen X, Zhang L, Li L, Huang Y, Sun Y, Yuan X. 2023. Artificial intelligence in clinical decision support systems for oncology. Int J Med Sci. 20(1):79-86.

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