Pressure ulcers (PU) are a frequent condition in patients with restricted mobility, causing a negative impact on the quality of life of hospitalized patients. The first measure is the identification of patients susceptible to developing PUs, which is why the use of scales that measure this risk is very useful. It is proposed to carry out an algorithm which is capable of optimally identifying and classifying images of pressure ulcers using artificial intelligence (AI) with machine learning, and thereby performing an analysis which allows evidence of the accuracy and precision of the algorithm.
publication date
June 2, 2021 12:36 AM
Research
keywords
Artificial intelligence (AI) system for the classification of pressure ulcers (UPP) by means of optical recongestion
Imaging diagnosis in the treatment of pressure ulcers (UPP)
Medical technology
Technology based on reconoming of images through AI for medical diagnosis
