Use of natural language processing in the emergency department

Hudson, C., Goldsworthy, A., Phan, T., Joy, A., Tronstad, O., Randall, M. Artificial Intelligence in Health DOI: 10.36922/AIH025450097

Abstract: Machine learning (ML) and artificial intelligence are increasingly ubiquitous in healthcare data analytics. To date, however, ML has been largely restricted to the analysis of structured data. While natural language processing (NLP) is gaining prominence in healthcare, substantial challenges remain in the generation and analysis of unstructured data. Emergency departments, which are increasingly under-resourced and overburdened, may benefit from the implementation of ML techniques that incorporate NLP to support clinical decision-making and improve patient care.

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Hemodynamic monitoring during veno-venous extracorporeal membrane oxygenation

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Early differential protein expression in blood and bronchoalveolar fluid among ARDS phenotypes