Informatics Framework to Identify Consistent Diagnostic Techniques

Giannaris, Pericles S.; Al-Taie, Zainab; Kovalenko, Mikhail; Hammer, Richard; Popescu, Mihail; Shin, Dmitriy

doi:10.1109/bibm47256.2019.8983164

Cited by 1 publication

(1 citation statement)

References 30 publications

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“…In clinical practice, various clinical documents, such as Electronic Health Records (EHR) and Pathology Reports (PR), contain significant biomedical and pathological information that can benefit from applying AI technologies for large-volume curation. Several studies have developed AI-based mining tools for EHR [ 11 ] and PR [ 12 ], [ 13 ], [ 14 ], which utilize similar technologies as those used in literature mining to recognize diagnostic entities and relationships from unstructured text and biomedical images. Integrating the mining results from biomedical literature and clinical documents can facilitate clinical studies and precision medicine.…”

Section: Challenges and Outlookmentioning

confidence: 99%

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

Liu

Yang

et al. 2023

Medical Review

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Background 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.

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