Artificial Intelligence to implement the diagnosis and MULTIdisciplinary care of rheumatoid arthritis, spondyloarthritis, ulcerative colitis, and atopic dermatitis in a clinical and research center dedicated to IMMUNE-mediated diseases

This project explores the potential of artificial intelligence (AI) to enhance the early diagnosis, referral, and multidisciplinary management of autoimmune and inflammatory diseases (AID) such as rheumatoid arthritis, psoriatic arthritis, spondyloarthritis, inflammatory bowel disease, and atopic dermatitis. By applying AI algorithms, including natural language processing and machine learning, the initiative aims to identify patterns often overlooked by clinicians, improving the detection of AID in diverse clinical settings. This approach seeks to ensure timely treatment, standardized care, and holistic management, ultimately minimizing long-term disease consequences.