Optimizing milling parameters based on full factorial experiment and backpropagation artificial neural network of lamina milling temperature prediction model.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
PMID: 37302049

Abstract

BACKGROUND: Milling operations of laminae in spinal surgery generate high temperatures, which can lead to thermal injury and osteonecrosis and affect the biomechanical effects of implants, ultimately leading to surgical failure.

Authors

  • He Bai
    Department of Anorectal, Xinhua Hospital, Affiliated Hospital of Dalian University, Dalian 116021, China.
  • Rui Wang
    Department of Clinical Laboratory Medicine Center, Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia, China.
  • Yu Dai
    College of Software, Northeastern University, Shenyang, China.
  • Yuan Xue
    Department of Nutrition and food hygiene, College of Public Health of Zhengzhou University, Zhengzhou, China, 450001. Electronic address: 962634470@qq.com.

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