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Copyright of Chinese Journal of Osteoporosis is the property of Chinese Journal of Osteoporosis and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective Osteoporosis is a kind of disability disease with hidden onset, high incidence, and high treatment cost. Early detection and treatment can significantly improve the survival status of the patients with osteoporosis. The best way of screening osteoporosis is through routine physical examination in community hospitals. However, there is a lack of effective tools for such screening in the market at present. Therefore, it is urgent to build a screening system for osteoporosis. Methods The development of mobile medicine provides technical support for solving such problems. In this paper, a content-customizable technology, digitization of osteoporosis clinical guidelines, and OCR recognition technology for medical laboratory sheets were proposed. The problems of complex and changeable screening content, knowledge modeling of osteoporosis screening, and structuring image data of laboratory sheet were solved respectively. Results Based on the MINA framework of the Wechat applet, a set of convenient and lightweight solution for osteoporosis screening was developed. The Wechat applet for "AI screening and prevention of osteoporosis" was developed. The clinical trial was carried out. Conclusion This solution can be easily applied to community screening and can improve the work efficiency of medical staff. [ABSTRACT FROM AUTHOR]

Objective 　To investigate the application status and development prospects of artificial intelligence (AI) in early diagnosis, early prevention, standardized treatment, and scientific follow-up of osteoporosis. Methods　The application status of AI in medicine in the past 10 years was reviewed. The feasibility of osteoporosis AI technology development and its key technical bottlenecks were analyzed. Results　An important prerequisite for the development of high-quality AI technology is the learning of a large amount of accurate knowledge. Osteoporosis screening AI technology requires many bone mineral density data and epidemiological factor survey as the data basis of the screening system. Diagnosis and follow-up AI technology requires many professional terms, imaging data, blood and urine biochemical indicator collection. Therefore, it is important in the learning and verification process to require a large amount of bone mineral density data, epidemiological investigation factors, blood and urine biochemical indicator data, bone mineral density imaging data, terminology data in osteoporosis diagnosis and treatment. The collection process of these related data can be completed through the construction of a database of osteoporosis biological samples. Conclusion　The development of osteoporosis AI is inseparable from the construction of a biological sample bank for osteoporosis physical examination. The data collected during the construction of a high-quality, multi-center, and large-scale osteoporosis biological sample library for robot learning and re-learning are the key to the success of osteoporosis AI technology development. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Osteoporosis is the property of Chinese Journal of Osteoporosis and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Osteoporosis is the property of Chinese Journal of Osteoporosis and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Osteoporosis is the property of Chinese Journal of Osteoporosis and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Due to the serious increasing of aging and osteoporosis，the measurement of bone mineral density has aroused great attention all over the world．As a part of the whole body skeleton，bone mass of the mandible is associated with systemic osteoporosis．This paper reviews literature on the possible correlation between systemic osteoporosis and mandibular bone mineral density，as well as the measuring method of bone mineral density．As the measurement method of jaw bone density is far from mature，it is urgent to study the detector and to develop advanced software. [ABSTRACT FROM AUTHOR]

目的 观察复方玄驹胶囊联合富硒大蒜粉口服治疗少精弱精症的效果。方法选择少精弱精症导致男性不育患者92例,将其随机分为富硒大蒜组(24例)、复方玄驹组(32例)、联合组(36例)。富硒大蒜组口服恩施富硒大蒜粉,40 g/次,2次/d;复方玄驹组口服复方玄驹胶囊,1.26 g/次,3次/d;联合组同时口服恩施富硒大蒜粉(40 g/次,2次/d)与复方玄驹胶囊(1.26 g/次,3次/d);3组均治疗3个月。治疗前后比较3组精液量、精液液化时间、精子密度、精子活动力(a级精子比例、a+b级精子比例)、精子存活率及精子形态正常患者比例,并评定临床疗效。结果联合组、复方玄驹组治疗后精液量、精液液化时间、精子密度、a级精子比例、a+b级精子比例、精子形态正常患者比例较治疗前高(P均<0.05),富硒大蒜组精液液化时间、a级精子比例较治疗前高(P均<0.05),联合组治疗后精液量、精子密度、a级精子比例、精子形态正常患者比例较复方玄驹组、富硒大蒜组高(P均<0.05)。联合组、复方玄驹组、富硒大蒜组临床总有效率分别为91.7%、87.5%、62.5%,3组两两相比P均<0.05。结论复方玄驹胶囊联合富硒大蒜粉口服治疗少精弱精症效果好。 [ABSTRACT FROM AUTHOR]