Applications of Explainable Artificial Intelligent Algorithms to Medicine: A Bibliographic Study

Author:

Wang Mini Han,Xing Lumin,Yu Xiangrong,Yan Chenyu,Zhou Ruoyu,Chong Kelvin K. L.,Wang Fengling,Zhou Xiaoshu,Chen Guoqiang,Wu Qing,Lin Zhiyuan,Zeng Peijin,Xiao Qide

Publisher

Springer Nature Singapore

Reference44 articles.

1. Wang, H., Li, Z.: The application of machine learning and deep learning to Ophthalmology: A bibliometric study (2000–2021). In: Tareq, A., Taiar, R., (eds.), Human interaction & emerging technologies (IHIET-AI 2022): Artificial intelligence & future applications, vol. 23, (2022)

2. Esteva, A., et al.: Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115–118 (2017)

3. Wang, H.: A bibliographic study and quantitative analysis of age-related macular degeneration and fundus images. Ann. Ophthalmol. Vis. Sci., 5(1027), 1–8 (2022)

4. Swartout, W.R., Smoliar, S.W.: Explaining the link between causal reasoning and expert behavior. In: Proceedings—The eleventh annual symposium on computer applications in medical care, pp. 37–42. IEEE, New York, USA (1987)

5. Adadi, A., Berrada, M.: Peeking inside the black-box: a survey on explainable artificial intelligence (XAI). IEEE Access, 6, 52138–52160 (2018)

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