Risk profiling in the prevention and treatment of chronic wounds using artificial intelligence

[...]this complex web of factors includes other health information outside of the wound itself. [...]there are several challenges in the clinical use of AI-based applications and interpretation of the results, including data privacy, poorly selected/outdated data, selection bias, and unintentional continuance of historical biases/stereotypes in the data, which can lead to erroneous conclusions. The impact of machine learning on patient care: a systematic review. A Clinical Support App for routine wound management: reducing practice variation, improving clinician confidence and increasing formulary compliance.