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Artificial intelligence in wound care education: scoping review

dc.contributor.authorEncarnação, Rúben
dc.contributor.authorAlves, José
dc.contributor.authorMarques, Ana
dc.contributor.authorNeves-Amado, João
dc.contributor.authorAlves, Paulo
dc.date.accessioned2025-09-22T09:47:50Z
dc.date.available2025-09-22T09:47:50Z
dc.date.issued2025-12-01
dc.description.abstractBackground: Artificial intelligence is transforming healthcare education, offering innovative teaching and skill development approaches. However, its implementation and effectiveness in wound care education remain unclear. Objective: To map and analyze the available evidence on the potential impact of artificial intelligence in wound care education, identify knowledge gaps, and provide recommendations for future research. Design/methods: This scoping review followed the Joanna Briggs Institute guidelines for scoping reviews and the PRISMA-ScR guidelines. The search was first conducted in December 2023 and updated on 30 November 2024 across the following databases: CINAHL Ultimate, MEDLINE, Cochrane Library, Academic Search Complete, Scientific Electronic Library Online (Scielo), Scopus, and Web of Science. Grey literature was accessed through Scientific Open Access Scientific Repositories of Portugal (RCAAP), ProQuest Dissertations and Theses, OpenAIRE, and Open Dissertations. Additional searches were performed in Google Scholar and specific journals, including the International Wound Journal, Skin Research and Technology, Journal of Wound Care, and Wound Repair and Regeneration. Eligibility criteria encompassed any study design exploring the use of artificial intelligence in wound care education, published in English, Portuguese, or Spanish, with no restrictions on publication date. Results: This review revealed diverse artificial intelligence applications in wound care education, including adaptive e-learning platforms, virtual and augmented reality simulations, generative artificial intelligence for educational content, and diagnostic and treatment tools. These technologies offer personalized learning experiences, real-time feedback, and interactive engagement to enhance clinical skills. Despite their promise, most studies lacked empirical validation, highlighting significant gaps in integrating artificial intelligence into wound care education. Conclusions: This review highlights artificial intelligence’s transformative potential to revolutionize wound care education by fostering interactive and evidence-based learning environments. This work highlights the need for collaboration among educators, policymakers, and researchers. Future research is needed to ensure effective, ethical, and equitable integration of artificial intelligence in wound care education.eng
dc.identifier.citationEncarnação, R., Alves, J., Marques, A., & Neves-Amado, J. et al. (2025). Artificial intelligence in wound care education: scoping review. Nurse Education Today, 155, Article 106872. https://doi.org/10.1016/j.nedt.2025.106872
dc.identifier.doi10.1016/j.nedt.2025.106872
dc.identifier.eid105015873088
dc.identifier.eid105015873088
dc.identifier.issn0260-6917
dc.identifier.other4289916b-8f08-4199-8cac-96d680a88896
dc.identifier.pmid40961828
dc.identifier.urihttp://hdl.handle.net/10400.14/55056
dc.language.isoeng
dc.peerreviewedyes
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectArtificial intelligence
dc.subjectEducation
dc.subjectHealth education
dc.subjectInjuries
dc.subjectNursing education research
dc.subjectReview
dc.subjectWounds
dc.titleArtificial intelligence in wound care education: scoping revieweng
dc.typeresearch article
dspace.entity.typePublication
oaire.citation.titleNurse Education Today
oaire.citation.volume155
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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