Wu, Y.; Chang, C.; Huang, Y.; Chen, S.; Chen, C.; Kao, H. Intelligent Image Recognition System for Preventing Wrong Side Upper Limb Surgery. Preprints2023, 2023090290. https://doi.org/10.20944/preprints202309.0290.v1
APA Style
Wu, Y., Chang, C., Huang, Y., Chen, S., Chen, C., & Kao, H. (2023). Intelligent Image Recognition System for Preventing Wrong Side Upper Limb Surgery. Preprints. https://doi.org/10.20944/preprints202309.0290.v1
Chicago/Turabian Style
Wu, Y., Cheng-Hsuan Chen and Hsuan-Kai Kao. 2023 "Intelligent Image Recognition System for Preventing Wrong Side Upper Limb Surgery" Preprints. https://doi.org/10.20944/preprints202309.0290.v1
Abstract
Our image recognition system mainly judges whether the left upper limb in the image is the left upper limb or the right upper limb through our deep learning model in the image. The doctor then could give the correct surgical position. From the experimental results, it could be found that the precision rate and recall rate of the intelligent image recognition system proposed in this paper for preventing the upper limb dislocation surgery could reach 98% and 93%, respectively. It proved that our intelligent image recognition system could indeed assist orthopedic surgeons to prevent the occurrence of left and right dislocation in upper limb surgery. At the same time, this paper also completes the IRB application approval through the prototype experimental results and will conduct the second phase of human trials in the future. It showed that the research results of this paper will be of great benefit and research value to upper limb orthopedic surgery.
Keywords
Intelligent Image Recognition; Left and Right Upper Limb Dislocation Surgery; Accuracy Rate; Recall Rate; IRB
Subject
Engineering, Bioengineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
