The application of Artificial Intelligence (AI) in stroke diagnosis represents a significant advancement in medical technology, offering the potential to enhance the accuracy, speed, and efficiency of diagnosing stroke types and severity. This in-depth analysis explores the role of AI in stroke diagnosis, focusing on machine learning and deep learning techniques, and reviews scientific evidence to understand its effectiveness and future potential. The Role of AI in Stroke Diagnosis Machine Learning and Deep Learning Machine learning (ML) and deep learning (DL), a subset of ML inspired by the structure of human neural networks, are at the forefront of AI applications…