This paper examines the integration of artificial intelligence (AI) in ankle rehabilitation exoskeletons. Special attention is given to modern AI technologies such as machine learning algorithms, adaptive control systems, neural networks, and data analysis, which significantly enhance the effectiveness and personalization of rehabilitation. Exoskeletons equipped with these technologies are capable of more precise motion tracking, adapting treatment in real time, and predicting patient movements, making rehabilitation safer and more comfortable. In addition to a comprehensive review of existing solutions, this study presents an AI-based ankle rehabilitation exoskeleton prototype developed as part of our research. The prototype integrates AI-driven adaptive control methods and sensor-based movement analysis to enhance rehabilitation efficiency.