Using Artificial Intelligence for the Early Detection of Micro-Progression of Pressure Injuries in Hospitalized
Shu-Chen Wu1,2, Yu-Chuan Jack Li1,3, Hsiao-Ling Chen2
1Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
Abstract:
This study established a predictive model for the early detection of micro-progression of pressure injuries (PIs) from the perspective of nurses. An easy and programing-free artificial intelligence modeling tool with professional evaluation capability and it performed independently by nurses was used for this purpose. In the preliminary evaluation, the model achieved an accuracy of 89%. It can bring positive benefits to clinical care. Only the overfitting issue and image subtraction method remain to be addressed.
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