A inteligência artificial no contexto do tratamento de feridas: uma revisão integrativa

Abstract

Artificial Intelligence applications have been gaining strength and recognition in the past decade, particularly in the healthcare field as a whole, with notable advancements consolidated, especially in the management of acute and chronic wounds. Currently, this technology enables early diagnosis, risk factor analysis, severity stratification of wounds, development of treatment plans, and more precise prognosis assessment. Therefore, this study aims to identify advances in the use of artificial intelligence in the context of wound treatment. To achieve this, an integrative literature review was conducted using the BVS and PubMed databases. Inclusion criteria selected articles published in the last 5 years, in Portuguese and English, original articles, and available in full text. Methodologically, PRISMA guidelines were followed, and the Rayyan platform was used for reference organization. As a result, 10 articles were selected that demonstrated the potential of artificial intelligence to transform wound care, such as its assistance in measuring wound areas, addressing their variety in shapes and depths during treatment, and contributing to the classification of diabetic foot ulcers and leg venous ulcers