Natural language processing in low back pain and spine diseases: A systematic review.
artificial intelligence
deep learning
low back pain
natural language processing
spine disorders
systematic review
Journal
Frontiers in surgery
ISSN: 2296-875X
Titre abrégé: Front Surg
Pays: Switzerland
ID NLM: 101645127
Informations de publication
Date de publication:
2022
2022
Historique:
received:
30
05
2022
accepted:
27
06
2022
entrez:
1
8
2022
pubmed:
2
8
2022
medline:
2
8
2022
Statut:
epublish
Résumé
Natural Language Processing (NLP) is a discipline at the intersection between Computer Science (CS), Artificial Intelligence (AI), and Linguistics that leverages unstructured human-interpretable (natural) language text. In recent years, it gained momentum also in health-related applications and research. Although preliminary, studies concerning Low Back Pain (LBP) and other related spine disorders with relevant applications of NLP methodologies have been reported in the literature over the last few years. It motivated us to systematically review the literature comprised of two major public databases, PubMed and Scopus. To do so, we first formulated our research question following the PICO guidelines. Then, we followed a PRISMA-like protocol by performing a search query including terminologies of both technical (e.g.,
Identifiants
pubmed: 35910476
doi: 10.3389/fsurg.2022.957085
pmc: PMC9329654
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
957085Informations de copyright
© 2022 Bacco, Russo, Ambrosio, D'Antoni, Vollero, Vadalà, Dell'Orletta, Merone, Papalia and Denaro.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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