PAWSIC: AI in Wound Care: A Critical Examination of Promise, Perils, and the Path Forward

Artificial intelligence (AI) is rapidly transforming healthcare, offering the potential to revolutionize wound management. This presentation provides a comprehensive overview of the various levels of AI, from basic algorithms to sophisticated deep learning models, and their applications within wound care. We will explore how these AI tools can assist clinicians in areas such as wound assessment, diagnosis, treatment planning, and outcome prediction. Crucially, we will delve into the critical questions that clinicians and patients should be asking about AI-driven wound management, including: How does this specific AI tool work? What are its limitations? How does it integrate with existing workflows? Furthermore, we will address the ethical and practical considerations surrounding AI implementation. A central focus will be on maintaining a "human-in-the-loop" to ensure clinical oversight and accountability. We will discuss strategies for managing quality control, preventing bias in algorithms and datasets, and ensuring that AI workflows demonstrably improve patient care rather than adding unnecessary complexity. Finally, we will explore methods for effectively influencing and shaping AI practices to maximize their positive impact on wound management and overall healthcare delivery.