New Frontiers of Natural Language Processing in Surgery
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Published on: December 6, 2024
Miranda X Morris1,2, Ethan Y Song3, Aashish Rajesh4
112277Duke University School of Medicine, Durham, NC, USA.
Abstract:
The vast and ever-growing volume of electronic health records (EHR) have generated a wealth of information-rich data. Traditional, non-machine learning data extraction techniques are error-prone and laborious, hindering the analytical potential of these massive data sources. Equipped with natural language processing (NLP) tools, surgeons are better able to automate, and customize their review to investigate and implement surgical solutions. We identify current perioperative applications of NLP algorithms as well as research limitations and future avenues to outline the impact and potential of this technology for progressing surgical innovation.

