A group of Chinese researchers has developed a new model to assess diabetic foot ulcers that they say could enhance identification and treatment.
The Smart Diabetic Foot Ulcer Scoring System (ScoreDFUNet) uses artificial intelligence technology to measure ulcer severity, lesion size and infection status, and offer predictive diagnostic scores.
“These scores can assist [clinicians] in planning and implementing appropriate treatment strategies,” they reported in Scientific Reports in May. “This study represents a significant advancement in the domain of diabetic foot ulcer assessment and signifies the potential of AI-driven solutions to enhance patient care in this critical area of healthcare.”
The model includes a user-friendly web application for providers to upload patient photos and receive quick algorithm-generated scores. The researchers bill their solutions as a major improvement over current assessment methods, noting a lack of objectivity and consistency that poses a significant risk to diabetes patients, including the potential for amputations.
From the July/August 2024 Issue of McKnight's Long-Term Care News
