According to foreign media reports, the US military has recently developed an automatic identification tool for hemorrhagic shock. This tool can capture micro movements and color changes of human skin through devices such as drones and mobile phone cameras, convert them into waveform data, and analyze and achieve early prediction of the risk of shock in the injured, thereby improving their survival rate. Previously, medical personnel mainly assessed the condition of the injured by monitoring vital signs such as blood pressure, heart rate, and blood oxygen saturation. However, in cases of traumatic blood loss, the body's compensation mechanism prioritizes concentrating blood to important organs such as the heart and brain, causing these vital signs to appear normal for a short period of time until significant abnormalities become apparent when the blood loss cannot be compensated for, hindering medical personnel from quickly identifying high-risk injuries in the early stages of recovery. This new tool is based on machine learning algorithms and can evaluate blood volume status by analyzing skin changes, accurately predict shock risk, and is suitable for various scenarios such as battlefield treatment and postoperative monitoring. In addition, the tool also has strong compatibility and can adapt to various monitoring devices, achieving rapid deployment through software upgrades. (New Society)