Artificial Intelligence (AI) is an interdisciplinary subject developed on the basis of computer technology, cybernetics, mathematics, philosophy and brain science. The purpose of AI is to study new ways to extend the intelligence of human brain in various fields. In recent years, the rapid development of AI technology has brought innovation to medical science and health care. During the pandemic of coronavirus disease 2019 (COVID-19) AI has been widely used in epidemiological investigation and outbreak prediction, clinical diagnosis and treatment, hospital management, research and development of new drugs and vaccines. The application of AI has reduced the clinical workload and the consumption of medical resources, greatly assisted the battle against COVID-19.This article introduces the progresses on the applications of AI technology to provide information for its further application in the fighting against COVID-19.

OBJECTIVE To compare the contents of schizandrin A, schizandrin B, schizandrin C, schisandrol A, schisandrol B, schisantherin A, anwuligan, and schisanhenol in Schisandrae Sphenantherae Fructus on market from 12 habitats. METHODS The samples were pre-treated by 96-well fitration plates. The assay was performed on ACE EXCEL 1.7 C18-AMIDE(100 mm×2.1 mm, 1.7 μm) column with 0.1% formic acid-water(A) and methanol(B), gradient elution, flow speed was 0.4 mL·min–1. Ion source was electric spray ion source, positive ion monitoring mode, multireaction monitoring mode for quantitative analysis. Linear, instrument precision, stability, repeatability, average recovery were investigated. RESULTS The content of schisantherin A in 10 of 12 producing areas reached the standard of ≥0.2% of Schisandrae Sphenantherae Fructus in 2020 Edition of Chinese Pharmacopoeia. CONCLUSION UHPLC-MS/MS is suitable for simultaneous determination of multiple components in Schisandrae Sphenantherae Fructus. The Schisandrae Sphenantherae Fructus in the market basically meet the national legal standards.