Applications of cutting-edge artificial intelligence technologies in biomedical literature and document mining

Abstract: 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.

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Applications of cutting-edge artificial intelligence technologies in biomedical literature and document mining ; volume:3 ; number:3 ; year:2023 ; pages:200-204 ; extent:05 ; Medical Review ; 3, Heft 3 (2023), 200-204 (gesamt 05)

Beteiligte, Orts- und Zeitangaben

• Urheber: He, Fei ; Liu, Kai ; Yang, Zhiyuan ; Hannink, Mark ; Hammer, Richard D. ; Popescu, Mihail ; Xu, Dong

Weitere Informationen

• DOI: 10.1515/mr-2023-0011
• URN: urn:nbn:de:101:1-2023091214042079208844
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 14.08.2025, 11:01 MESZ