New Frontiers of Natural Language Processing in Surgery

被引：5

作者：

Morris, Miranda X. ^{[1
,2
]}

Song, Ethan Y. ^{[3
]}

Rajesh, Aashish ^{[4
]}

Kass, Nicolas ^{[5
]}

Asaad, Malke ^{[6
]}

Phillips, Brett T. ^{[3
]}

机构：

[1] Duke Univ, Sch Med, Durham, NC 27710 USA

[2] Duke Pratt Sch Engn, Durham, NC USA

[3] Duke Univ, Dept Surg, Div Plast Maxillofacial & Oral Surg, Durham, NC 27710 USA

[4] Univ Texas Hlth Sci Ctr San Antonio, Dept Surg, San Antonio, TX 78229 USA

[5] Univ Pittsburgh, Sch Med, Pittsburgh, PA USA

[6] Univ Pittsburgh, Med Ctr, Dept Plast Surg, Pittsburgh, PA USA

来源：

AMERICAN SURGEON | 2023年 / 89卷 / 01期

关键词：

artificial intelligence; natural language processing; surgery; algorithm; text analysis; ARTIFICIAL-INTELLIGENCE; AUTOMATED SURVEILLANCE; CHALLENGES; OUTCOMES;

D O I：

10.1177/00031348221117039

中图分类号：

R61 [外科手术学];

学科分类号：

摘要：

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.

引用

页码：43 / 48

页数：6

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