The effectiveness of a proposed rehabilitation program based on some artificial intelligence applications in improving the working muscle strength of the injured shoulder joint for volleyball players

The current research aims to design a proposed rehabilitation program based on some artificial intelligence applications in improving the working muscle strength of the shoulder joint injured by dislocation for the first time for players of the Al-Azhar University volleyball team and to identify the extent of improvement in the working muscle strength of the injured shoulder joint, the level of pain, and the improvement in the range of motion of the injured shoulder joint. The researcher used the experimental method for its suitability to the nature of the research. The sample included (5) players with anterior shoulder dislocation. The proposed program based on some artificial intelligence applications was applied. A genometer device was also used to measure the range of motion and a dynamometer device to measure muscle strength as tools for collecting data.  Implementation of the rehabilitation program at Titanium Plus Center in Nasr City, Cairo, during the period from 2/3 to 18/5/2024 AD. The results of the study showed that there are statistically significant differences between the pre- and post-measurements in reducing the degree of pain, increasing the muscle strength of the muscles working on the injured shoulder joint, and increasing the range of motion of the injured shoulder joint in favor of the post-measurement. The study recommended using a rehabilitation program prepared with artificial intelligence technology to rehabilitate common sports injuries in team sports in general and volleyball in particular, and continuing to use rehabilitation exercise programs to reduce pain and increase muscle strength and range of motion evenafter the end of the rehabilitation program .