ABSTRACT

Diagnosis and classification of pressure injury is the top priority step in order to take appropriate and effective interventions in a timely manner in pressure injury management. Injury classification, which has a key role in the care to be applied to the patient; is done by determining the damage to the anatomical structure of the skin and subcutaneous tissues. In this direction, internationally accepted classification systems are used. However, in this application, the classification of pressure injuries is made according to the health professional’s knowledge, observation, and experience, and no objective data can be obtained. Differences between subjective classifications negatively affect the care process and increase mortality and morbidity rates. Today, efficient solutions are produced with technological developments applied to all areas of life, increasing the quality of life. Therefore, utilizing modern technologies in the classification of pressure injuries will have a positive impact on wound care management. Deep learning, one of the most important technologies in the field of artificial intelligence, aims to support healthcare professionals in the diagnosis and treatment of diseases. In this article, information about the place and importance of deep learning in pressure injury diagnosis is shared and the intelligent pressure injury classification system developed in our country is discussed.