Artificial Intelligence in Wound Care: Revolutionizing Therapeutics, Management, and Precision Healing Predictions

With the population aging and chronic diseases becoming more widespread, intricate interventions for high-risk patients with multiple health issues and wounds that are difficult to heal have become increasingly common. Healthcare professionals are challenged to provide safe and effective care for all patients at the same time. When skin wounds are not managed properly, the possibility of infection and complications increases. This can hinder healing and negatively impact patients’ quality of life. Technology based on artificial intelligence (AI) has shown considerable benefits in the processing and analysis of image data. Recently, methods and algorithms based on AI—such as automated learning, deep-learning learning, and neural networks—have been thoroughly investigated in the field of wound care and research. They have proven effective for supporting clinical decisions regarding wound diagnosis, medical care, anticipation, and rehabilitation. Nonetheless, difficulties persist in realizing a closed-loop care system for the thorough integration of AI in wound management, which includes wound diagnosis, observation, and medical care. This review thoroughly encapsulates recent progress in the use of AI for wound repair. In particular, it addresses the function of AI in categorizing types of injuries, assessing wounds, classifying wound tissue types, overseeing and forecasting wound conditions, and tailoring treatment to individual patients. Moreover, the review discusses the difficulties and constraints that AI encounters in managing wounds. In addition, the review considers current limitations and examines potential future directions.