Image Based Artificial Intelligence in Wound Assessment: A Systematic Review

• URL: http://arxiv.org/abs/2009.07141v1
• Date: Tue, 15 Sep 2020 14:52:14 GMT
• Title: Image Based Artificial Intelligence in Wound Assessment: A Systematic Review
• Authors: D. M. Anisuzzaman (1), Chuanbo Wang (1), Behrouz Rostami (2), Sandeep Gopalakrishnan (3), Jeffrey Niezgoda (4), and Zeyun Yu (1) ((1) Department of Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA, (2) Department of Electrical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI, USA, (3) College of Nursing, University of Wisconsin-Milwaukee, Milwaukee, WI, USA, (4) Jeffrey Niezgoda is with the AZH Wound Center, Milwaukee, WI, USA.)
• Abstract summary: Assessment of acute and chronic wounds can help wound care teams improve diagnosis, optimize treatment plans, ease the workload and achieve health-related quality of life to the patient population. While artificial intelligence has found wide applications in health-related sciences and technology, AI-based systems remain to be developed clinically and computationally for high-quality wound care.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Efficient and effective assessment of acute and chronic wounds can help wound care teams in clinical practice to greatly improve wound diagnosis, optimize treatment plans, ease the workload and achieve health related quality of life to the patient population. While artificial intelligence (AI) has found wide applications in health-related sciences and technology, AI-based systems remain to be developed clinically and computationally for high-quality wound care. To this end, we have carried out a systematic review of intelligent image-based data analysis and system developments for wound assessment. Specifically, we provide an extensive review of research methods on wound measurement (segmentation) and wound diagnosis (classification). We also reviewed recent work on wound assessment systems (including hardware, software, and mobile apps). More than 250 articles were retrieved from various publication databases and online resources, and 115 of them were carefully selected to cover the breadth and depth of most recent and relevant work to convey the current review to its fulfillment.

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