Abstract：
To evaluate the accuracy of AI chatbots in staging pressure injuries according to the National Pressure Injury Advisory Panel (NPIAP) Staging through clinical image interpretation, a cross-sectional design was conducted to assess five leading publicly available AI chatbots. As a result, three chatbots were unable to interpret the clinical images, whereas GPT-4 Turbo achieved a high accuracy rate (83.0%) in staging pressure injuries, notably outperforming BingAI Creative mode (24.0%) with statistical significance (p < 0.001). GPT-4 Turbo accurately identified Stages 1 (p < 0.001), 3 (p = 0.001), and 4 (p < 0.001) pressure injuries, and suspected deep tissue injuries (p < 0.001), while BingAI demonstrated significantly lower accuracy across all stages. The findings highlight the potential of AI chatbots, especially GPT-4 Turbo, in accurately diagnosing images and aiding the subsequent management of pressure injuries.
摘要：
根据国家压力伤害咨询小组（NPIAP）通过临床图像解释分期评估AI聊天机器人在压力伤害分期中的准确性，进行了横截面设计，以评估五个领先的公开AI聊天机器人。因此,三个聊天机器人无法解释临床图像，而GPT-4Turbo在压力伤分期中取得了很高的准确率(83.0%)，显着优于BingAICreative模式（24.0%），具有统计学意义（p<0.001）。GPT-4Turbo准确识别了阶段1（p<0.001），3（p=0.001），和4（p<0.001）压力伤害，和可疑的深部组织损伤（p<0.001），而BingAI在所有阶段都表现出显著较低的准确性。这些发现凸显了人工智能聊天机器人的潜力，尤其是GPT-4Turbo,在准确诊断图像和帮助压力伤害的后续管理。
