Precisely predicting the trajectory of wound healing presents a challenge for physicians specializing in wound care, due to the complex and dynamic processes involved. The development of effective artificial intelligence methods can assist physicians in evaluating the efficacy of therapies and predicting wound healing outcomes. Advances in image analysis techniques have significantly improved the processing and visualization of medical images, such as X-rays, ultrasound, CT scans, and MRI. However, there are currently few developments and applications of artificial intelligence methods for analyzing the dynamics of wound changes to assess the effectiveness of their treatment. This paper presents the results of a study on image analysis methods as applied to the evaluation of wound healing dynamics following surgical intervention.
RSCI Journals Platform: https://journals.rcsi.science/2071-8594/article/view/407916
Nazarenko A., Kleimenova E., Molodchenkov A., Ignatenkova V., Gorbatyuk D., Yashina L. Evaluation of wound healing dynamics using image analysis methods. — 2026. — N. 1. — P. 76–89.