Abstract
Objectives: This study was conducted with the aim of reviewing the applications of artificial intelligence in women's sports physiology. With the increasing advancement of technology, artificial intelligence has become one of the important tools in all sciences, especially in the field of sports science. As is clear to everyone, women's sports physiology requires more accurate and personalized analytical approaches due to specific biological characteristics such as hormonal fluctuations and menstrual cycles, periods such as pregnancy, lactation, postmenopause, and the use of birth control pills. By designing unique exercises for each athlete, the best efficiency for exercises can be achieved and the risk of injuries can be prevented. In this regard, this review article has been compiled with the aim of investigating the applications of artificial intelligence in the assessment, monitoring, design of exercises, and injury prevention in female athletes. In this review article, the main focus is on the capabilities of AI in analyzing complex physiological data, predicting performance and injury risk, and designing intelligent training systems based on women's individual characteristics. Finally, challenges, research gaps And suggestions for the development of future studies in this field are presented.
Keywords: Artificial Intelligence, Exercise Physiology, Female Athletes, Adaptive Exercises, Data Analysis