Obstructive Sleep Apnea (OSA) is a common disorder characterized by repeated airway collapse during sleep, leading to significant health risks. The traditional diagnosis of OSA through polysomnography is resource-intensive, leading to delays in diagnosis and management. In recent years, artificial intelligence (AI) has emerged as a transformative tool in diagnosing, managing, and personalizing treatment for OSA. This report summarizes the application of AI in OSA, focusing on its role in automating sleep data analysis, enhancing diagnostic accuracy, and optimizing treatment strategies. These advancements offer potential for more accessible and efficient OSA care.