This review study aims to uncover how artificial intelligence (AI) has been employed to support individuals with learning Disorders in Reading Comprehension. Of the 16 reviewed studies, 10 were focused on dyslexia, with only one focused on dyscalculia and the remaining focused on learning disabilities in general. The use of AI tools, such as cognitive tutors, can improve learning outcomes, but the challenge lies in balancing instructional assistance and self-directed learning. Despite the potential benefits, AI-enabled mobile learning apps face usability issues that can impact user satisfaction and learning outcomes. AI applications were used to support learning disorder, including adaptive learning, facial expression, chat robots, communication assistants, mastery learning, intelligent tutors, and interactive robots. Adaptive learning was the most widely used. we found that AI had been utilized in various ways to support learning disorder. Findings revealed the potential of AI in supporting learning disorder, but the small number of empirical studies also implies significant gaps and the need for more research on how AI can support learning disorder beyond just identifying and diagnosing a learning disability.