Application of iot medical image detection and prenatal genetic testing in obstetric clinic |
| |
| Affiliation: | 1. Prenatal Diagnosis Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637000, China;2. School of Clinical Medicine, North Sichuan Medical College, Nanchong, Sichuan, 637000, China;3. Obstetrics and Gynecology Department, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637000, China;1. School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing 100876, China;2. Research Center of Maritime Security Technology, China Waterborne Transport Research Institute, Beijing 100088, China;3. Institute of Quantitative and Technical Economics, Chinese Academy of Social Sciences, Beijing 100002, China;4. School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu 611731, China;5. International School, Beijing University of Posts and Telecommunications, Beijing 100876, China;1. University of York, York City, YO10 5DD, UK;2. Beijing Normal University, Beijing, 100875, China;1. Department of Pathology, The Second People''s Hospital of Dongying, Dongying, Shandong, 257000, China;2. Department of Hematology, The Eighth People''s Hospital of Qingdao, Qingdao, Shandong, 266000, China;3. Department of Laboratory, Yaoqiang Street Office Community Health Service Center, Jinan, Shandong, 250000, China;4. Pediatrics, Yaoqiang Street Office Community Health Service Center, Jinan, Shandong, 250000, China;5. Department of Pharmacy, Jinan Hospital of Traditional Chinese Medicine, Jinan, Shandong, 250000, China;1. Yiwu Industrial and Commercial College, Yiwu, Zhejiang, 322000, China;2. Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China |
| |
| Abstract: | The use of new techniques and methods can be significantly improved during prenatal examination and screening of fetal genetic abnormalities. Expanding the number of vectors in screening and screening for single-cell gene diseases in fetal DNA will increase the probability of success of the whole screening test.Recently, sub chromosomal abnormalities have been introduced into prenatal care. The lack of suitable tools makes it very difficult to obtain information about collection, management, and prenatal genetic testing. The purpose of this study is to improve the accessibility of nutritional information by using the advantages of advanced medical image detection and integrating the IoT (Internet of Things) and prenatal genetic testing platforms in obstetric outpatient clinics. Records are kept that the platform will allow IoT to interact with sensor practitioners and provide immediate access to medical images prior to delivery. This proposed system provides an IoT application for managing obstetric outpatient information and prenatal genetic testing requirements. The requirement for establishment is the realization of the development of an IoT platform for complete medical image detection information management with IoT input required for integration with existing medical information systems. In response, the purpose of the study is to use integrated IoT applications to help nutrition professionals, researchers, patients, and especially mothers, to enhance their collection of medical imaging and prenatal genetic testing IoT sensor based information transfer. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
