Comprehensive Review of Natural Language Processing (NLP) in Vascular Surgery
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 wa...
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Format: | Article |
Language: | English |
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Elsevier
2023-01-01
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Series: | EJVES Vascular Forum |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2666688X23000758 |
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author | Fabien Lareyre Bahaa Nasr Arindam Chaudhuri Gilles Di Lorenzo Mathieu Carlier Juliette Raffort |
author_facet | Fabien Lareyre Bahaa Nasr Arindam Chaudhuri Gilles Di Lorenzo Mathieu Carlier Juliette Raffort |
author_sort | Fabien Lareyre |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-09T14:24:52Z |
format | Article |
id | doaj.art-62f0b08a6ff54c4d891e112cecee7a9d |
institution | Directory Open Access Journal |
issn | 2666-688X |
language | English |
last_indexed | 2024-03-09T14:24:52Z |
publishDate | 2023-01-01 |
publisher | Elsevier |
record_format | Article |
series | EJVES Vascular Forum |
spelling | doaj.art-62f0b08a6ff54c4d891e112cecee7a9d2023-11-28T07:27:10ZengElsevierEJVES Vascular Forum2666-688X2023-01-01605763Comprehensive Review of Natural Language Processing (NLP) in Vascular SurgeryFabien Lareyre0Bahaa Nasr1Arindam Chaudhuri2Gilles Di Lorenzo3Mathieu Carlier4Juliette Raffort5Department of Vascular Surgery, Hospital of Antibes Juan-les-Pins, France; Université Côte d'Azur, Inserm, U1065, C3M, Nice, France; Corresponding author. Department of Vascular Surgery, Hospital of Antibes-Juan-les-Pins, 107 avenue de Nice, 06 600, Antibes, France.Department of Vascular and Endovascular Surgery, Brest University Hospital, Brest, France; INSERM, UMR 1101, LaTIM, Brest, FranceBedfordshire - Milton Keynes Vascular Centre, Bedfordshire Hospitals, NHS Foundation Trust, Bedford, UKDepartment of Vascular Surgery, Hospital of Antibes Juan-les-Pins, FranceDepartment of Urology, University Hospital of Nice, Nice, FranceUniversité Côte d'Azur, Inserm, U1065, C3M, Nice, France; Institute 3IA Côte d’Azur, Université Côte d’Azur, France; Clinical Chemistry Laboratory, University Hospital of Nice, FranceObjective: 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.http://www.sciencedirect.com/science/article/pii/S2666688X23000758Artificial IntelligenceLiterature searchNatural Language ProcessingVascular surgery |
spellingShingle | Fabien Lareyre Bahaa Nasr Arindam Chaudhuri Gilles Di Lorenzo Mathieu Carlier Juliette Raffort Comprehensive Review of Natural Language Processing (NLP) in Vascular Surgery EJVES Vascular Forum Artificial Intelligence Literature search Natural Language Processing Vascular surgery |
title | Comprehensive Review of Natural Language Processing (NLP) in Vascular Surgery |
title_full | Comprehensive Review of Natural Language Processing (NLP) in Vascular Surgery |
title_fullStr | Comprehensive Review of Natural Language Processing (NLP) in Vascular Surgery |
title_full_unstemmed | Comprehensive Review of Natural Language Processing (NLP) in Vascular Surgery |
title_short | Comprehensive Review of Natural Language Processing (NLP) in Vascular Surgery |
title_sort | comprehensive review of natural language processing nlp in vascular surgery |
topic | Artificial Intelligence Literature search Natural Language Processing Vascular surgery |
url | http://www.sciencedirect.com/science/article/pii/S2666688X23000758 |
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