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Applications of cutting-edge artificial intelligence technologies in biomedical literature and document mining
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作者 Fei He Kai Liu +4 位作者 Zhiyuan Yang Mark Hannink Richard D.Hammer Mihail Popescu Dong Xu 《Medical Review》 2023年第3期200-204,共5页
The biomedical literature is a vast and invaluable resource for biomedical research.Integrating knowledge from the literature with biomedical data can help biological studies and the clinical decision-making process.E... The biomedical literature is a vast and invaluable resource for biomedical research.Integrating knowledge from the literature with biomedical data can help biological studies and the clinical decision-making process.Efforts have been made to gather information from the biomedical literature and create biomedical knowledge bases,such as KEGG and Reactome.However,manual curation remains the primary method to retrieve accurate biomedical entities and relationships.Manual curation becomes increasingly challenging and costly as the volume of biomedical publications quickly grows.Fortunately,recent advancements in Artificial Intelligence(AI)technologies offer the potential to automate the process of curating,updating,and integrating knowledge from the literature.Herein,we highlight the AI capabilities to aid in mining knowledge and building the knowledge base from the biomedical literature. 展开更多
关键词 artificial intelligence technologies biomedical literature mining pathway figure mining text mining
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