Role of Artificial Intelligence in Stroke Diagnosis and Treatment
This session will explore the transformative role of artificial intelligence (AI) in stroke diagnosis, treatment planning, and patient management. Discussions will highlight advancements in AI-driven diagnostics, predictive modeling, and decision support systems that enhance clinical decision-making and personalized treatment in stroke care. The session will showcase machine learning algorithms, natural language processing, and image recognition technologies that enable automated interpretation of neuroimaging, genomic data, and electronic health records for stroke patients. By integrating AI-enabled tools into clinical practice, this session aims to improve diagnostic accuracy, workflow efficiency, and patient outcomes in stroke management, paving the way for precision medicine and data-driven healthcare innovations.