Authors: Dr. Vignesh Sai
Abstract: Autoimmune diseases are complex, chronic conditions characterized by immune system dysregulation and unpredictable disease progression, posing significant challenges for early diagnosis, continuous monitoring, and personalized treatment. Traditional clinical approaches often fall short in managing these multifaceted disorders effectively. This article explores the transformative role of artificial intelligence (AI) in addressing these challenges by leveraging advanced machine learning, natural language processing, and wearable technologies to improve early detection, real-time disease activity monitoring, and tailored therapeutic strategies. We discuss current applications, data and ethical considerations, and future innovations such as multimodal AI systems and federated learning, emphasizing the potential of AI to enhance patient outcomes and revolutionize autoimmune disease care. Overcoming hurdles related to data quality, privacy, and bias remains essential to fully realizing AI’s benefits. This synthesis highlights AI’s promise in enabling a more precise, proactive, and patient-centered approach to autoimmune disease management.
DOI: http://doi.org/10.61137/ijsret.vol.11.issue3.130
