Katalog Plus
Bibliothek der Frankfurt UAS
Bald neuer Katalog: sichern Sie sich schon vorab Ihre persönlichen Merklisten im Nutzerkonto: Anleitung.
Dieses Ergebnis aus BASE kann Gästen nicht angezeigt werden.  Login für vollen Zugriff.

Natural language processing in dermatology: A systematic literature review and state of the art

Title: Natural language processing in dermatology: A systematic literature review and state of the art
Authors: Paganelli A.; Spadafora M.; Navarrete-Dechent C.; Guida S.; Pellacani G.; Longo C.
Contributors: Paganelli, A.; Spadafora, M.; Navarrete-Dechent, C.; Guida, S.; Pellacani, G.; Longo, C.
Publisher Information: WILEY
Publication Year: 2024
Description: BackgroundNatural Language Processing (NLP) is a field of both computational linguistics and artificial intelligence (AI) dedicated to analysis and interpretation of human language.ObjectivesThis systematic review aims at exploring all the possible applications of NLP techniques in the dermatological setting.MethodsExtensive search on 'natural language processing' and 'dermatology' was performed on MEDLINE and Scopus electronic databases. Only journal articles with full text electronically available and English translation were considered. The PICO (Population, Intervention or exposure, Comparison, Outcome) algorithm was applied to our study protocol.ResultsNatural Language Processing (NLP) techniques have been utilized across various dermatological domains, including atopic dermatitis, acne/rosacea, skin infections, non-melanoma skin cancers (NMSCs), melanoma and skincare. There is versatility of NLP in data extraction from diverse sources such as electronic health records (EHRs), social media platforms and online forums. We found extensive utilization of NLP techniques across diverse dermatological domains, showcasing its potential in extracting valuable insights from various sources and informing diagnosis, treatment optimization, patient preferences and unmet needs in dermatological research and clinical practice.ConclusionsWhile NLP shows promise in enhancing dermatological research and clinical practice, challenges such as data quality, ambiguity, lack of standardization and privacy concerns necessitate careful consideration. Collaborative efforts between dermatologists, data scientists and ethicists are essential for addressing these challenges and maximizing the potential of NLP in dermatology.Natural language processing (NLP) is efficiently used in dermatological research, with potential applications in the setting of different dermatological settings, including skin and soft tissue infections (SSTIs), acne/rosacea, melanoma and non-melanoma skin cancer (NMSC), atopic dermatitis (AD) and other ...
Document Type: article in journal/newspaper
Language: English
Relation: info:eu-repo/semantics/altIdentifier/pmid/39150311; info:eu-repo/semantics/altIdentifier/wos/WOS:001291456700001; volume:38; issue:12; firstpage:2225; lastpage:2234; numberofpages:10; journal:JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY; https://hdl.handle.net/20.500.11768/172425
DOI: 10.1111/jdv.20286
Availability: https://hdl.handle.net/20.500.11768/172425; https://doi.org/10.1111/jdv.20286; https://onlinelibrary.wiley.com/doi/10.1111/jdv.20286
Rights: info:eu-repo/semantics/openAccess ; license:Creative commons ; license uri:http://creativecommons.org/licenses/by-nc/4.0/
Accession Number: edsbas.66D6367B
Database: BASE