This paper reviews the published articles of recent years on the application of deep learning methods in automatic localization of acupoint, and summarizes it from 3 key links, i.e. the dataset construction, the neural network model design, and the accuracy evaluation of acupoint localization. The significant progress has been obtained in the field of deep learning for acupoint localization, but the scale of acupoint detection needs to be expanded and the precision, the generalization ability, and the real-time performance of the model be advanced. The future research should focus on the support of standardized datasets, and the integration of 3D modeling and multimodal data fusion, so as to increase the accuracy and strengthen the personalization of acupoint localization.
Deep Learning ; Acupuncture Points ; Humans ; Neural Networks, Computer

Objective This study aimed to develop an experimental animal platform for evaluating the feasibility and safety of intelligent acupuncture robots and to lay the foundation for further research.Methods Six 2-month-old Guangxi Bama miniature pigs were used as experimental subjects for acupuncture verification after anesthesia.First,manual acupuncture verification was carried out.Six acupoints were selected for each experimental animal and the needles were left for 20 min after the lifting,inserting,and twisting manipulation.Before and after controls were included.The experiment was carried out for 28 days,and each experiment was conducted once every 2 days for a total of 10 times.After verification of manual acupuncture,a point 10 mm from each of the six selected acupoints was selected,with a total of 12 points,and acupuncture operations were carried out on the experimental animals using the intelligent acupuncture module of the acupuncture robot at different frequencies and angles,to further verify the stability and feasibility of the animal platform.Results Routine safety-related blood indicators and blood biochemistry indicators after the procedure were normal and stable compared with those before the procedure.The average heart rate of the animals was 124 beats/min,the average blood pressure was 87/36 mmHg,and the average body temperature of was 36℃at a room temperature of 25℃,with no significant change in body temperature during and after the experiment.On the basis of this experimental platform,acupuncture manipulation using the intelligent acupuncture module of the acupuncture robot was completed successfully,with no abnormalities related to acupuncture such as bending,breaking,or stagnation of needles during the experimental process,and the experimental animals showed no obvious abnormalities.Conclusions This study established a stable experimental animal platform for evaluating the feasibility and safety of acupuncture carried out by intelligent acupuncture robots,based on the existing experimental method of miniature pigs.These result lay a foundation for further research related to the use of intelligent acupuncture robots.

OBJECTIVE: To evaluate the performance of a newly developed intelligent acupuncture robot that simulates human manual acupuncture techniques through an animal experiment using miniature pigs. METHODS: Two 3-month-old Bama miniature pigs were selected. One pig was used for the manual needling techniques of the practitioner, and the other pig was used for the intelligent acupuncture robot. The acupoints selected were "Qiangfeng" "Bojian" "Xiaokua" "Huiyang" (BL 35) and "Baihui" (GV 20), with a straight insertion depth of 25-35 mm. The manipulation techniques, including lifting-thrusting and twisting at a frequency of 90 times/min, were applied for 1 min, with 30 s each for lifting-thrusting (10 mm amplitude) and twisting (180° angle). The practitioner's needling techniques were captured using an optical motion capture system, and the collected data were input into the intelligent acupuncture robot for replication on the second miniature pig. A complete needling session of five acupoints was considered one round, and three rounds were performed per session, every other day, for a total of five sessions, completing 15 rounds. The Fréchet distance method was used to compare the robot's replicated needling data with the practitioner's data, and curve fitting analysis was conducted to evaluate the robot's performance and precision. RESULTS: The intelligent acupuncture robot achieved a total completion rate of 96.00% for 75 needling operations, with a non-completion rate of 4.00%. The robot's replication of the practitioner's needling techniques showed a good fit, with many characteristic points overlapping. The average Fréchet distance was 18.67. The Fréchet distance for the lifting-thrusting and twisting techniques at Baihui (GV 20) and "Huiyang" (BL 35) acupoints was smaller than that at "Xiaokua" and "Qiangfeng" points (P<0.01). The accuracy of the lifting-thrusting technique at "Xiaokua" and "Qiangfeng" acupoints was lower than the twisting technique (P<0.01). CONCLUSION The intelligent acupuncture robot is able to replicate the pre-recorded manual needling parameters with a high degree of accuracy.
Animals ; Swine ; Swine, Miniature ; Acupuncture Therapy/methods* ; Robotics/instrumentation* ; Humans ; Acupuncture Points ; Female ; Male

Objective To construct evaluation system of residents standardization training's effect in Xinjiang. Methods According to the principles of combinations of comprehensiveness and direction, sci-entificity and operability, initial questionnaire regarding for residents' attitude, knowledge and ability was modified to form the final questionnaire through the first round of the survey using literature research and expert interviews. Internal consistency check was carried out for all valid questionnaires by SPSS 18.0, the reliability coefficient was calculated by Alpha test and the analytic hierarchy process was used to determine the indicators' weights of evaluation system of residents standardization training's effect in Xinjiang. Results The cronbach coefficient of the questionnaire was 0.894, with a higher reliability. Evaluation system of resi-dents standardization training's effect in Xinjiang included 6 first-level indicators and 23 second-level indi-cators, and calculated their respective weight coefficients. Conclusion Evaluation system of residents stan-dardization training's effect which was constructed and was in accordance with the reality of Xinjiang was more reasonable. It is of guiding significance to comprehensively and objectively measure the training effect of trainees and to strengthen and improve residents' standardization training in Xinjiang.

Objective To learn the training effect and main influencing factors for residents′ standardized training in Xinjiang.Methods In the convenience sampling principle, 220 trainees subject to training at 10 training centers in Xinjiang were surveyed with questionnaire.Measurement indicators were described with frequencies and relative number, and x2 test was used to compare overall training outcomes among individual measurement indicators.Results Significant gaps were found among the respondents in terms of training outcomes.A comparison of six level-1 indicators and 25 level-2 indicators found that the respondents gave average comment to teaching and research training.Logistic regression analysis identified education (x2=7.575,P=0.006) and hospital (employer) or school (x2=10.770,P=0.001) as the main influencing factors for training outcomes.Conclusions The standardized training of residents in Xinjiang calls for greater improvement, namely enhanced leadership and powerful assurance mechanism, scientific planning, appraisal regulations and motivation mechanism, as well as encouraging academic environment.

Hepatocellular carcinoma (HCC) is still one of common malignant cancers worldwide, with increasing incidence and mortality rates. Early diagnosis and effective treatment for HCC remain to be explored. This article introduces the research advances in the early specific diagnosis and effective therapies for HCC in 2016, such as molecular markers in the specific diagnosis and targeted therapy for HCC, main therapeutic regimens, robot-assisted liver resection, and no-touch radiofrequency ablation.