Transforming wound care: the role of AI in achieving clinical and financial outcomes.
Wound care has significant associated challenges in clinical practice, particularly for chronic wounds such as venous leg ulceration, pressure ulceration and diabetic foot ulceration. This article discusses the emerging and current applications of artificial intelligence in wound care, including wou...
| Publicado en: | British Journal of Community Nursing Vol. 31; no. 9; pp. 449 - 454 |
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| Autores principales: | , |
| Formato: | tables/charts Journal Article |
| Publicado: |
Mark Allen Holdings Limited
Sep2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=196690636&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 196690636 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14624753 GHA jtl: British Journal of Community Nursing issn: 14624753 maglogo: N pubinfo: dt: Sep2026 vid: 31 iid: 9 pid: 11383 pub: Mark Allen Holdings Limited artinfo: ui: 196690636 196690636 196690636 10.12968/bjcn.2026.0014 196690636 ppf: 449 ppct: 5 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Transforming wound care: the role of AI in achieving clinical and financial outcomes. aug: au: Haynes, Jackie Stephen Burford, James affil: Birmingham City University, Birmingham, UK sug: subj: Wounds, Chronic Therapy Wound Care Artificial Intelligence Image Processing, Computer Assisted Wound Infection Diagnosis Diagnosis, Computer Assisted Prediction Models Decision Support Systems, Clinical Wound Assessment Machine Learning Deep Learning Natural Language Processing Wound Healing Inflammation Diagnosis Quality of Life Wounds, Chronic Economics Health Care Costs Venous Ulcer Pressure Ulcer Diabetic Foot Wearable Sensors Data Quality Algorithms Artificial Intelligence Ethical Issues Sensitivity and Specificity Technology ab: Wound care has significant associated challenges in clinical practice, particularly for chronic wounds such as venous leg ulceration, pressure ulceration and diabetic foot ulceration. This article discusses the emerging and current applications of artificial intelligence in wound care, including wound image analysis, infection detection, predictive modelling and decision support systems. The article explores how artificial intelligence technologies are being leveraged to enhance accuracy and efficiency in wound assessment and management. Additionally, the integration of artificial intelligence with mobile health platforms and wearable devices is examined, particularly in the context of telehealth and remote patient monitoring. Consideration is given to the challenges of artificial intelligence including data quality, algorithm bias, ethical concerns and regulatory challenges. Clinicians may be able to apply artificial intelligence safely and effectively to their own clinical practice. Direction for future research is also identified. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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