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There is a close correlation between biochemical analysis instruments and artificial intelligence, in biomedical engineering, biochemical analysis instruments produce a large number of complex data, including spectral data, mass spectrometry data, electrochemical data, etc. Artificial intelligence algorithms can be used to process and interpret this data, extract useful information from it, identify features and trends, and help researchers better understand biochemical processes. Moreover, artificial intelligence can be used to realize the data pattern recognition and classification of biochemical analysis instruments. Through machine learning techniques, algorithms can be trained to automatically identify differences between different samples or analysis results, helping to identify different biomolecules or compounds. It can also be used for fault diagnosis and maintenance of analytical instruments. By monitoring instrument performance data, algorithms can detect potential problems and provide repair recommendations, reduce instrument downtime, and between multiple biochemical analysis instruments, as well as with other laboratory equipment and databases, AI can be used for data consolidation and comprehensive analysis to help researchers obtain more comprehensive information. In this paper, the influence of Beckman 5800 automatic biochemical analyzer on the results of hemolysis test was discussed through the example of automatic biological differentiation instrument combined with artificial intelligence.
Qian et al. (Sun,) studied this question.
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