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Review
. 2023 Sep 17:60:57-63.
doi: 10.1016/j.ejvsvf.2023.09.002. eCollection 2023.

Comprehensive Review of Natural Language Processing (NLP) in Vascular Surgery

Fabien Lareyre  1   2 , Bahaa Nasr  3   4 , Arindam Chaudhuri  5 , Gilles Di Lorenzo  1 , Mathieu Carlier  6 , Juliette Raffort  2   7   8
Affiliations
Review

Comprehensive Review of Natural Language Processing (NLP) in Vascular Surgery

Fabien Lareyre et al. EJVES Vasc Forum. .

Abstract

Objective: 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.

Data sources: The MEDLINE database was searched on April 2023.

Review methods: 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.

Results: 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.

Conclusion: 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.

Keywords: Artificial Intelligence; Literature search; Natural Language Processing; Vascular surgery.

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Conflict of interest statement

None.

References

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