TY  - JOUR
PY  - 2023//
TI  - Unmanned aerial vehicle based intelligent triage system in mass-casualty incidents using 5G and artificial intelligence
JO  - World journal of emergency medicine
A1  - Lu, Jiafa
A1  - Wang, Xin
A1  - Chen, Linghao
A1  - Sun, Xuedong
A1  - Li, Rui
A1  - Zhong, Wanjing
A1  - Fu, Yajing
A1  - Yang, Le
A1  - Liu, Weixiang
A1  - Han, Wei
SP  - 273
EP  - 279
VL  - 14
IS  - 4
N2  - BACKGROUND: Rapid on-site triage is critical after mass-casualty incidents (MCIs) and other mass injury events. Unmanned aerial vehicles (UAVs) have been used in MCIs to search and rescue wounded individuals, but they mainly depend on the UAV operator's experience. We used UAVs and artificial intelligence (AI) to provide a new technique for the triage of MCIs and more efficient solutions for emergency rescue. <br><br>METHODS: This was a preliminary experimental study. We developed an intelligent triage system based on two AI algorithms, namely OpenPose and YOLO. Volunteers were recruited to simulate the MCI scene and triage, combined with UAV and Fifth Generation (5G) Mobile Communication Technology real-time transmission technique, to achieve triage in the simulated MCI scene. <br><br>RESULTS: Seven postures were designed and recognized to achieve brief but meaningful triage in MCIs. Eight volunteers participated in the MCI simulation scenario. The results of simulation scenarios showed that the proposed method was feasible in tasks of triage for MCIs. <br><br>CONCLUSION: The proposed technique may provide an alternative technique for the triage of MCIs and is an innovative method in emergency rescue.<p />  <p>Language: en</p>
LA  - en
SN  - 1920-8642
UR  - http://dx.doi.org/10.5847/wjem.j.1920-8642.2023.066
ID  - ref1
ER  -