Evaluation of AI Auxiliary Diagnosis for Chronic Non-Specific Back Pain
CUI Li1，ZHOU Junkai1,2，WANG Nian1,2，XIAO Jing3，JI Yuxuan3，JIANG Meichi3
1. Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing
100190, China丨 2. School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 100190, China丨
3. Rehabilitation Medicine Department, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, China
Abstract：Objective To explore the performance of artificial intelligence (AI) auxiliary diagnosis system based on machine learning
in the diagnosis of chronic non-specific back pain. Methods FlexComp Infiniti 10 Electromyography (Thought Technology Ltd)
was used to collect EMG signals of multifidus muscles, longissimus muscles and lumbar iliac rib muscles on the left and right
backs of 15 subjects. The 15 subjects were all diagnosed patients with chronic non-specific back pain. A round of test included five
flexion relaxation exercises, one bipedal bridge exercise, one left foot bridge exercise, one right foot bridge exercise, and one Biering
Sorensen isometric movement. Three senior physicians diagnosed the subjects by electromyography using conventional methods
and this was taken as standard. AI aided diagnostic results were compared with the doctor’s results. Results The detection accuracy
of AI auxiliary diagnosis and treatment system for 15 patients with non-specific back pain selected in this paper reached 100%. The
results of muscle recruitment, fatigue speed and resting speed tests were in good agreement with the doctor’s diagnosis. The average
diagnosis time required was reduced by 26.3 min, which was statistically significant (P<0.05). Conclusion Preliminary verification
results show that the AI auxiliary diagnosis system can provide accurate and efficient diagnosis and quantitative evaluation for
chronic non-specific back pain, and provide reliable help for clinical detection.
崔莉1，周钧锴1,2，王念1,2，肖京3，季宇宣3，姜美驰3. 面向非特异性腰痛的AI辅助诊断效果评价[J]. 中国医疗设备, 2021, 36(9): 34-39.
CUI Li1，ZHOU Junkai1,2，WANG Nian1,2，XIAO Jing3，JI Yuxuan3，JIANG Meichi3. Evaluation of AI Auxiliary Diagnosis for Chronic Non-Specific Back Pain. China Medical Devices, 2021, 36(9): 34-39.