Application of Machine Learning Algorithms to Diagnosis and Prognosis of Chronic Wounds

As the number of hard-to-heal wound cases rises with the aging of the population and the spread of chronic diseases, healthcare professionals struggle to provide safe and effective care to all their patients simultaneously. The implementation of machine learning (ML) algorithms in the diagnosis and management of hard-to-heal wounds is a promising approach for improving the wound care delivered to hospitalized patients while allowing healthcare professionals to manage their working time more efficiently. Artificial intelligence (AI) methodologies appear to have a strong positive impact and prospect in the wound care and management arena, and might even provide AI-based remote consultation utilizing smartphones and tablets for data collection and connectivity.