As a key part of promoting the physical health of the people and promoting social progress, sports has ushered in comprehensive vitality. More and more people’s attention has been paid to the physical health status, especially the physical status of young people. In the field of physical fitness monitoring, although the state has continuously increased investment in human and financial resources, it still cannot meet the needs of the market. This study mainly discusses the monitoring of youth sports physique by intelligent medical robots based on cognitive computing. This study introduces the development and implementation process of the management system and the test planning of the system. It focuses on the realization of the scalable architecture of the system server application and the communication mechanism of the intelligent terminal application. With the development of collaborative computing, social computing, and the ever-changing demands of human-computer interaction, it is difficult for a single user to take into account the interactive tasks in complex scenarios. The collaborative interaction of multiusers has gradually been paid more and more attention. Teenagers can log in to the intelligent medical robot system or mobile phone terminal to make health test appointments, score inquiries, and prescription inquiries. Its display module displays different contents according to different login identities. For teenagers, it is necessary to check personal physical test results and have a position on their physical health. Through the intelligent medical robot system, the administrator records and analyzes the results of the youth health test and gives appropriate exercise prescriptions for the youth. This not only analyzes the functional requirements that meet the basic user needs, but also analyzes the nonfunctional requirements that meet the most basic security, stability, and robustness of the software. Intelligent medical systems can effectively help people learn medical knowledge better in today’s postepidemic era. It also helps people to conduct self-diagnosis and self-examination of minor diseases to a certain extent, so as to improve their own health. From the functional requirements, each module of the intelligent medical robot system is functionally described. From a nonfunctional point of view, the design and implementation meet the performance requirements of client-side robustness, maintainability, and stability. Finally, the system architecture of the intelligent medical robot is designed, and the specific database table is given. During the research, 20% of the students believed that their physical condition had been improved through physical health monitoring. The state of national physique can reflect a part of the country’s comprehensive national strength to a certain extent. Throughout history, the overall development trend of a society and a country is constrained by the two factors of the group’s constitution and economic development. This research will contribute to the physical and mental development of adolescents. The robot designed in this paper meets the requirements of a large number of students’ centralized testing and is more accurate, faster, and more convenient.

Introduction: Strength training plays a unique role in improving muscle strength and stability in athletes. Initially used in rehabilitation, it is now widely used in competitive sports. Objective: To combat the problem of physical exercise capacity and body posture maintenance when tennis players complete several complex movements in training, this article reviews the research on strength training in various countries from the core concept. Methods: Based on the main bones, joints, and muscle groups in the core area, the kinematic characteristics, and the physiological mechanism of these muscle groups, the research model of applying strength training in teaching tennis was established. The application of state-of-the-art computer technology in strength training can be based on data feedback from athletes and their training in tennis training. It can be used for real-time or faster data processing and analysis: data processing is closer to the data source than in an external data center or done in the cloud to reduce lag time. Results: Based on the data, we can carry out the corresponding training plans to help the athletes win the championship. With the methods of literature review, experiment, and comparative analysis, this paper studies the influence of strength training on body shape characteristics, the impact of strength training on technical accuracy characteristics, and the effect of strength training on physical health indicators. Conclusion: The results show that the accuracy of the experimental data is improved by 20%, and the authenticity of the data is more robust, thus of practical value. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.