Application of Natural Language Processing in Total Joint Arthroplasty: Opportunities and Challenges.
J Arthroplasty
; 38(10): 1948-1953, 2023 10.
Article
en En
| MEDLINE
| ID: mdl-37619802
ABSTRACT
Total joint arthroplasty is becoming one of the most common surgeries within the United States, creating an abundance of analyzable data to improve patient experience and outcomes. Unfortunately, a large majority of this data is concealed in electronic health records only accessible by manual extraction, which takes extensive time and resources. Natural language processing (NLP), a field within artificial intelligence, may offer a viable alternative to manual extraction. Using NLP, a researcher can analyze written and spoken data and extract data in an organized manner suitable for future research and clinical use. This article will first discuss common subtasks involved in an NLP pipeline, including data preparation, modeling, analysis, and external validation, followed by examples of NLP projects. Challenges and limitations of NLP will be discussed, closing with future directions of NLP projects, including large language models.
Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Procesamiento de Lenguaje Natural
/
Inteligencia Artificial
Tipo de estudio:
Guideline
/
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
J Arthroplasty
Asunto de la revista:
ORTOPEDIA
Año:
2023
Tipo del documento:
Article