Ticks are obligate blood⁃feeding parasites in the Arthropod phylum, which are widely distributed around the world and are the vectors of many diseases, posing a serious threat to public health and breeding safety. In this paper, the research progresses on application of artificial intelligence technology to tick species recognition, ticks⁃hosts relation based on ecology, diagnosis and prediction of tick⁃borne diseases are summarized, and the potential application value of artificial intelligence technology in the study of the interaction effect between ticks and tick⁃borne pathogens and host immune system is explored, aiming at providing more scientific and effective technical support for the prevention, diagnosis and treatment of tick⁃borne diseases through revealing the relation between ticks⁃pathogens⁃hosts.

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