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 This paper discussed the implementation effect of medical research integrity and related code of conduct in a general hospital in xinjiang,to provide theoretical basis for the construction of medical research integrity.Methods According to the gap analysis theory,a questionnaire was designed for satisfaction with the implementation effect of medical research integrity and related code of conduct in the hospital.101 researchers in the hospital were surveyed to understand their evaluation on various aspects of the hospital's scientific research integrity construction policies and the space for improvement.Results The gap analysis showed that the hospital has a large gap in the construction of "institutional construction of scientific research integrity management " and "methods and regulations for dealing with academic misconduct",which were urgently need to be improved in the scientific research integrity construction.Conclusions The hospital should further improve the system of scientific research integrity construction,combine the characteristics of medical development and the corresponding national policy development,strengthen the innovation of scientific research management,create a healthy and positive environment for scientific research activities,and promote the comprehensive construction and long-term development of scientific research integrity construction.

Objective To determine the weights of performance appraisal indicators of autonomous regional attached re-search institute of medicine in Xinjiang .Methods The AHP analysis method was used to establish a judgment matrix ,which determined the corresponding weights of the factors ,and calculated the total weight coefficient of the indicators that constitute the performance evaluation system of autonomous regional attached research institutes of medicine .Finally ,consistency check was performed on the judgment matrix .Results The assignment of experts to each indicator was reasonable and effective ,and the comparison with each other of the relative importance of indicators was appropriate .The weight coefficients of the criteria layer respectively were 0 .09246 ,0 .20434 ,0 .17473 ,0 .23681 ,0 .29166 ,and the total weight coefficient of the indicators were calculated .A performance evaluation model of attached research institute of medicine in Xinjiang was constructed .Conclusions The performance appraisal system of autonomous regional attached research institute of medicine in Xinjiang established by the AHP analysis method had a high degree of credibility and operability ,which can be used as a reference for further strengthe-ning the management of the institutes .

Objective Though the research on the satisfaction of environment and factors influ encing the growth of the talented in medical science in Xinjiang,the author focuses on the shortcomings and reasons of current development of the talented,and provides specific suggestions and improvement for the cultivation of the talented.Methods Using Xinjiang Medical University First Affiliated Hospital as the research object,author investigates the influential factors of growth,and the satisfaction of environment though the questionnaires.Results According to the principal components analysis,the factors which influence the growth the talented in medical science are put in flowing order:political factor＞environmental factor＞education factor＞family factor.According to the data envelop ment analysis,in the satisfaction of environment of hospital technological innovation,the talented in hospital technological innovation consider that the cultivation plan,research expenses,support for scientific research,recruitment,and social welfare are at a better satisfaction rate;but the duration of academic research,income policies,selection of the talented,and the outcome of the research are at a low satisfaction rate.Conclusions Based on the current development and cultivation of the talented in the innovation of medical science,there are still many shortcomings.Hospital must continue interna tional cooperation,insist to do the cultivation of the talented and the innovation team,and complete the selection mechanisms,in order to give enough time for the scientific research,and create a good atmosphere of medical science innovation at the same time.Only when the services for the talented are well-prepared,Xinjiang medical science innovation can achieve enough support and motivation for the development of the talented.

Objective This study uses the KANO model to evaluate the satisfaction of the growth environment of medical science and technology innovation talents in Xinjiang,comprehensively understand the needs of talents for the growth environment,and propose specific countermeasures for the improvement and related direction of Xinjiang's science and technology innovation talent growth environment.Methods Science and technology innovation talents from three tertiary hospitals in Xinjiang were selected as research subject,questionnaire survey was conducted to understand their basic information,and to confirm the talents growth environment for the current attitude according to the structural KANO model questionnaire includes rules.Results The KANO model was used to determine five key indicators that have high sensitivity to the satisfaction of Xinjiang medical science and technology innovation talents.They are research funding,scientific research facilities,scientific research reward mechanism,scientific research team cooperation,and academic exchanges domestically and internationally.Conclusions According to the key influencing factors of Xinjiang medical science and technology innovation talent satisfaction,improving and optimizing the corresponding indicators can effectively improve the overall quality of the technological innovation talent growth environment and improve the satisfaction of scientific and technological talents.

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 analyze youth talents' scientific research projects in research oriented hospital for recent five years,provide scientific basis for hospitals to strengthen the youth talents' capacity building of research innovation.Methods Identify those youth talents who have been funded in the First Affiliated Hospital of Xinjiang Medical University,and statistically analyze the demographic information,granted scientific research projects and hospital funding situations.Results There are 140 young talents who have got scientific research projects from 2011 to 2015 in the hospital.The national project number and the trend of approval rate has no obvious change;the provincial level project number and approval rate showed a trend of a significant increase in the last two years;Setting up the hospital fund promoted the youth talents' scientific research ability,but there are still spaces for further improvement in the funding field and founded group.Conclusions There has been a group of youth talents to stand out from the crowd during the construction and the development of the researchoriented hospital,but youth talents remains scarce for the national key projects and talent projects,and that will put forward new requirements for the hospital in the future to strengthen the youth talents' capacity building of research innovation,which needs to gradually establish a suitable cultivation mode and mechanism for youth talents' growth.

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.