The transformative potential of Artificial Intelligence (AI) in enhancing educational outcomes for students with mental disabilities, focusing on Dyslexia, Autism, and Attention Deficit Hyperactivity Disorder (ADHD), has been extensively explored. The significance of AI in education and its role in personalizing learning experiences to meet individual student needs has been highlighted. The current state of AI applications in education has been reviewed, identifying significant research gaps, such as ethical considerations, lack of teacher training, integration challenges, and the need for longitudinal studies to assess long-term impacts. Innovative AI solutions have been discussed, focusing on adaptive learning platforms and AI tools tailored for specific disabilities. These solutions include personalized learning systems, real-time feedback tools, and AI-driven assistive technologies, demonstrating their effectiveness through various case studies. The best AI methods have been evaluated through detailed case studies, showcasing successful applications of AI reading aids for Dyslexia, social interaction tools for Autism and real-time engagement tools for ADHD. These tools provide customized support, enhance engagement, and improve educational outcomes. The importance of AI in personalizing education, supporting teachers, and promoting inclusivity has been emphasized. Future research directions have been identified, including expanding the scope of AI applications, fostering interdisciplinary collaborations, addressing ethical issues, developing AI literacy, conducting longitudinal studies, and exploring innovative pedagogies. The integration of AI in education promises to create more inclusive, effective, and responsive learning environments, ultimately improving educational outcomes for all students.