Intelligent medical care is a research topic of great significance in the national science and technology development plan. Scoliosis has become the third hidden danger of adolescent health in China after obesity and myopia. Clinical practice shows that continuous and efficient scoliosis screening for primary and secondary school students can achieve early detection and early intervention, However, the research and development and application of digital intelligent technology for adolescent spinal abnormality screening and health management are still in the initial stage of development. At present, the common means of adolescent spinal anomaly diagnosis include radioactive ray detection method and physical detection method, but the radioactive ray detection method has the defects of ionizing radiation, high cost and complicated operation, and the physical detection method has the defects of low detection accuracy and low detection efficiency in the face of massive image data. Based on this, the team developed a set of fast and efficient online intelligent screening system for adolescent spinal abnormalities-SpineCare, combined with cutting-edge semantic segmentation and key point detection algorithms, proposed a target posture standard detection algorithm based on deep semantic segmentation, realized the fine segmentation of the body image and the background, judged whether it matched the standard posture regression frame fine segmentation, and proposed a human body key point detection algorithm based on Transformer model, realize the precise positioning of the key points required to measure the index, and finally realize the comprehensive and popularized large-scale spinal abnormality screening of adolescents, so as to achieve "early detection and early intervention". The SpineCare mainly includes two modules: "Spine Detection" and "My Home Page. The "Spine Detection" module is equipped with functions such as "Shooting Guide", "Start Detection", "History Record" and "Message Reminder". After entering the page, the user can understand the requirements and precautions for shooting or uploading body examination images through the shooting guide, click the "Start Detection" button to start spine evaluation, and the user can choose to shoot or select pictures from photo albums as body examination images, the system will combine the cutting-edge semantic segmentation algorithm and key point detection algorithm to carry out spine detection, automatically generate screening reports, and provide screening suggestions. At the same time, historical records are fed back to users in the form of data visualization, which is convenient for users to check the spine health conditions detected in the past. In addition, the system will set up a message reminding function. If the spine conditions detected by users recently are abnormal, the system will regularly remind users to carry out spine screening. The "My Home Page" module is equipped with the functions of viewing information such as "Test Records", "Body Data", "My Notifications", and "Instructions for Use". At the same time, users can feedback to developers during use through "User Feedback" Comments and suggestions. The SpineCare aims to improve the quality and level of adolescent spinal anomaly screening service, realize the automation and intelligence of adolescent spinal anomaly screening service, and further promote the application and development of a new generation of artificial intelligence technology in the field of adolescent spinal diagnosis.