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This article delves into the current landscape of the first review in academic journals, highlighting prevailing challenges. Employing literature analysis approach, it synthesizes and scrutinizes pertinent research on Artificial Intelligence (AI) within the editing and publishing domain. Furthermore, it investigates AI's potential impact on the first review phase. Leveraging AI's extensive database and advanced learning capabilities, it indicates that artificial intelligence can help evaluate the novelty of manuscripts, standardize formatting, recommend expert reviewers, and cultivate more objective opinions. These advancements hold promise for enhancing the quality of manuscripts published in academic journals.
Yanqing Jiang (Wed,) studied this question.