We comprehensively outlined the application of imaging, immunology, and molecular biology techniques in the detection of hepatic echinococcosis (HE). Imaging techniques, represented by ultrasound, computed tomography, magnetic resonance imaging, and positron emission tomography, not only provided some critical information about the morphology, location, and characteristics of HE lesions, but also could be combined with artificial intelligence technologies to enhance the diagnostic capabilities and expand the application scenarios. These techniques were essential tools for the diagnosis, screening, and prevention of HE. Immunological techniques, such as the indirect hemagglutination assay, enzyme-linked immunosorbent assay, immunoblotting, and chemiluminescence immunoassay, aided in diagnosis and differential diagnosis by detecting the specific antibodies. Molecular biology techniques, such as polymerase chain reaction and high-throughput sequencing, provided a strong support for the diagnosis and pathogen identification of HE due to their high sensitivity and specificity. Based on these three major technologies, more sensitive, specific, convenient, and cost-effective detection techniques had emerged, offering more options for the detection and control of HE. Additionally, constructing comprehensive diagnostic models by combining the advantages of different detection technologies will aid to improve the diagnostic efficiency of HE.