Large Language Models (LLMs), a leading development in Artificial Intelligence (AI), are influencing education through applications such as chatbot tutors and personalized learning systems. Learning Disabilities (LDs) and neurodevelopmental conditions like ADHD and autism spectrum disorder (ASD) can significantly affect reading, writing, arithmetic, language comprehension, and concentration. Integrating LLMs into this area can assist professionals in diagnosing and supporting individuals with learning challenges. While LLMs have been widely explored for supporting people with Special Educational Needs and Disabilities (SEND), fewer studies address their potential for diagnosing and categorizing learning difficulties. This review examines the intersection of LLMs and learning disabilities, outlines current research on diagnostic applications, discusses practical considerations, and highlights future directions for inclusive implementation.