Image Based Artificial Intelligence in Wound Assessment: A Systematic\n Review

Efficient and effective assessment of acute and chronic wounds can help wound\ncare teams in clinical practice to greatly improve wound diagnosis, optimize\ntreatment plans, ease the workload and achieve health related quality of life\nto the patient population. While artificial intelligence (AI) has found wide\napplications in health-related sciences and technology, AI-based systems remain\nto be developed clinically and computationally for high-quality wound care. To\nthis end, we have carried out a systematic review of intelligent image-based\ndata analysis and system developments for wound assessment. Specifically, we\nprovide an extensive review of research methods on wound measurement\n(segmentation) and wound diagnosis (classification). We also reviewed recent\nwork on wound assessment systems (including hardware, software, and mobile\napps). More than 250 articles were retrieved from various publication databases\nand online resources, and 115 of them were carefully selected to cover the\nbreadth and depth of most recent and relevant work to convey the current review\nto its fulfillment.\n