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Image-Based Artificial Intelligence in Wound Assessment: A Systematic Review.

D M Anisuzzaman1, Chuanbo Wang1, Behrouz Rostami2

  • 1Department of Computer Science, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.

Advances in Wound Care
|September 21, 2021
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Artificial intelligence (AI) can enhance wound care by analyzing wound images to predict healing and improve patient outcomes. This review explores AI

Keywords:
artificial intelligencedeep learningwound diagnosiswound measurementwound systems

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Area of Science:

  • Wound healing research
  • Medical imaging analysis
  • Artificial intelligence in healthcare

Background:

  • Predicting wound healing is challenging for clinicians due to complex biological processes.
  • Large datasets of wound images are generated but underutilized.
  • Current methods for wound assessment are time-consuming and data-intensive.

Purpose of the Study:

  • To systematically review recent advancements in AI for intelligent image-based wound assessment.
  • To highlight the potential of AI in improving wound diagnosis and treatment effectiveness.
  • To identify gaps and future directions for AI development in wound care.

Main Methods:

  • Systematic literature review of AI-based systems for wound assessment.
  • Analysis of recent work in intelligent image analysis and system development for wound care.
  • Focus on AI applications in diagnosing, assessing therapy, and predicting healing outcomes.

Main Results:

  • AI has revolutionized medical imaging but is nascent in clinical wound care.
  • Commercial platforms exist for wound imaging and measurement, but lack advanced AI integration.
  • Significant progress has been made in AI for analyzing medical images, with potential for wound assessment.

Conclusions:

  • AI-powered digital platforms are poised to transform chronic wound care through data-driven insights.
  • Further development of AI systems is crucial for clinical application and improved patient outcomes.
  • Leveraging big data and computing power will enable AI to support clinicians in wound management.