Alzheimer's disease (AD) is a dementia-type neurodegenerative disease with an increasing incidence in elderly population and a poor prognosis. Therefore, the early diagnosis technology of AD urgently needs to be improved. In this paper, the laboratory diagnostic technologies of Alzheimer's disease were reviewed in the field of neuropsychological assessment, neuroimaging technology, and biomarker detection, including the simple intelligence state scale, the Montreal cognitive assessment scale, the memory and executive function screening scale, structural MRI, and functional MRI, positron emission computed tomography, MRI-based artificial intelligence analysis, and β amyloid (Aβ), homocysteine, S100B protein, Aβ 42, tau protein, urine AD-related neurofilament protein (AD7c-NTP) and Aβ plaques in the retinas. The limitations of these technologies were analyzed, and the development trends of the technologies were summarized. In order to improve the efficiency of AD screening, it is necessary to build an early diagnosis system for AD, in which multimodal diagnosis technology should be used to distinguish different types of AD.