Design and implementation of an adolescent idiopathic scoliosis orthosis design expert system based on fuzzy logic

doi:10.3969/j.issn.2095-4344.2342

Abstract

Abstract:

BACKGROUND: In recent years, artificial intelligence technology has been widely used in various fields of the medical industry, effectively assisting doctors in the diagnosis and treatment of patients. In the conservative treatment of adolescent idiopathic scoliosis, artificial intelligence technology can be applied to the design of adolescent idiopathic scoliosis orthosis, thereby shortening the manufacturing cycle of adolescent idiopathic scoliosis orthosis.

OBJECTIVE: To design and implement an adolescent idiopathic scoliosis orthosis design expert system based on fuzzy logic. With the help of the expert system, it can help physicians to design adolescent idiopathic scoliosis orthosis quickly and effectively.

METHODS: The adolescent idiopathic scoliosis orthosis design expert system is developed through the hybrid programming of C Language Integrated Production System and C++. The main function modules of adolescent idiopathic scoliosis orthosis design expert system include fuzzy inference engine, agenda, knowledge base management system, knowledge base, fact base, interpreter, and human-computer interface. Aiming at the uncertain information in the design of scoliosis orthosis, the knowledge representation of adolescent idiopathic scoliosis orthosis design is realized by fuzzy set theory, and the reasoning of adolescent idiopathic scoliosis orthosis design is realized by fuzzy reasoning based on certainty factor. The feasibility of the design method of adolescent idiopathic scoliosis orthosis design expert system based on fuzzy logic was verified by the treatments of two cases of adolescent idiopathic scoliosis patients.

RESULTS AND CONCLUSION: (1) The adolescent idiopathic scoliosis orthosis design expert system improved the design efficiency of scoliosis orthosis by 50% and the deviation rates between the reasoning values and the actual operation values of experts were less than 10%. (2) Therefore, the adolescent idiopathic scoliosis orthosis design expert system can assist physicians to design adolescent idiopathic scoliosis orthosis quickly and effectively.

Key words: bone, spine, scoliosis, adolescent, orthosis, fuzzy logic, artificial intelligence, digital medicine

CLC Number:

Zhao Dezhu, Guan Tianmin, Wu Bin, Mei Zhao. Design and implementation of an adolescent idiopathic scoliosis orthosis design expert system based on fuzzy logic[J]. Chinese Journal of Tissue Engineering Research, 2020, 24(33): 5255-5261.

Figures/Tables 17

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