Comprehensive Review of Natural Language Processing (NLP) in Vascular Surgery.
Artificial Intelligence
Literature search
Natural Language Processing
Vascular surgery
Journal
EJVES vascular forum
ISSN: 2666-688X
Titre abrégé: EJVES Vasc Forum
Pays: England
ID NLM: 101766732
Informations de publication
Date de publication:
2023
2023
Historique:
received:
11
05
2023
revised:
13
07
2023
accepted:
08
09
2023
medline:
12
10
2023
pubmed:
12
10
2023
entrez:
12
10
2023
Statut:
epublish
Résumé
The use of Natural Language Processing (NLP) has attracted increased interest in healthcare with various potential applications including identification and extraction of health information, development of chatbots and virtual assistants. The aim of this comprehensive literature review was to provide an overview of NLP applications in vascular surgery, identify current limitations, and discuss future perspectives in the field. The MEDLINE database was searched on April 2023. The database was searched using a combination of keywords to identify studies reporting the use of NLP and chatbots in three main vascular diseases. Keywords used included Natural Language Processing, chatbot, chatGPT, aortic disease, carotid, peripheral artery disease, vascular, and vascular surgery. Given the heterogeneity of study design, techniques, and aims, a comprehensive literature review was performed to provide an overview of NLP applications in vascular surgery. By enabling identification and extraction of information on patients with vascular diseases, such technology could help to analyse data from healthcare information systems to provide feedback on current practice and help in optimising patient care. In addition, chatbots and NLP driven techniques have the potential to be used as virtual assistants for both health professionals and patients. While Artificial Intelligence and NLP technology could be used to enhance care for patients with vascular diseases, many challenges remain including the need to define guidelines and clear consensus on how to evaluate and validate these innovations before their implementation into clinical practice.
Identifiants
pubmed: 37822918
doi: 10.1016/j.ejvsvf.2023.09.002
pii: S2666-688X(23)00075-8
pmc: PMC10562666
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
57-63Informations de copyright
© 2023 The Author(s).
Déclaration de conflit d'intérêts
None.
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