Infection and suppuration of chronic wounds reduce the effectiveness of their treatment with a course of antibiotics and antiseptics combined with frequently renewed dressings. Therefore, daily short-term procedures of cleaning wounds from purulent-necrotic masses by mechanical methods, including the use of cleansing solutions and necrophage fly larvae, are also part of the general practice of chronic wound treatment. But even they do not always provide rapid healing of chronic wounds. In this connection, it is suggested to supplement the treatment of chronic wounds with preparations dissolving dense pus and wound dressings made in the form of warm moist compresses creating a local greenhouse effect in the wounds. Solutions of 3% hydrogen peroxide and 2–10% sodium bicarbonate heated to a temperature of 37°–45°С, possessing alkaline activity at рН 8.4–8.5 and enriched with dissolved carbon dioxide or oxygen gas (due to overpressure of 0.2 atm were suggested as pyolytic drugs. The first results of the use of pyolytics and warm moist dressings-compresses in the treatment of chronic wounds demonstrate a wound-healing effect. It is suggested to consider sanitizing therapy with pyolytics and warm moist wound dressings-compresses as an alternative to the use of modern cleansing solutions and artificial introduction of larvae of the necrophage fly into the purulent masses of chronic wounds to dissolve dense pus and accelerate the healing process.

Wound healing is a very dynamic and complex process as it involves the patient, wound-level parameters, as well as biological, environmental, and socioeconomic factors. Its process includes hemostasis, inflammation, proliferation, and remodeling. Evaluation of wound components such as angiogenesis, inflammation, restoration of connective tissue matrix, wound contraction, remodeling, and re-epithelization would detail the healing process. Understanding key mechanisms in the healing process is critical to wound research. Elucidating its healing complexity would enable control and optimize the processes for achieving faster healing, preventing wound complications, and undesired outcomes such as infection, periwound dermatitis and edema, hematomas, dehiscence, maceration, or scarring. Wound assessment is an essential step for selecting an appropriate treatment and evaluating the wound healing process. The use of artificial intelligence (AI) as advanced computer-assisted methods is promising for gaining insights into wound assessment and healing. As AI-based approaches have been explored for various applications in wound care and research, this paper provides an overview of recent studies exploring the application of AI and its technical developments and suitability for accurate wound assessment and prediction of wound healing. Several studies have been done across the globe, especially in North America, Europe, Oceania, and Asia. The results of these studies have shown that AI-based approaches are promising for wound assessment and prediction of wound healing. However, there are still some limitations and challenges that need to be addressed. This paper also discusses the challenges and limitations of AI-based approaches for wound assessment and prediction of wound healing. The paper concludes with a discussion of future research directions and recommendations for the use of AI-based approaches for wound assessment and prediction of wound healing.