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AI-Assisted Model for Risk Detection of Autoimmune Diseases

  • R. S. M. Lakshmi Patibandla,
  • B. Tarakeswara Rao,
  • M. Ramakrishna Murthy

摘要

In autoimmune disorders, your immune system attacks your body. Included in this category are rheumatoid arthritis, Crohn's disease, and a few thyroid diseases. Typically, the immune system defends against pathogens and viruses. As soon as it detects these unfamiliar intruders, it dispatches a group of fighter cells to absorb them. It takes expertise and can be subjective in a medical setting to observe the slight variations in the disease's site of inflammation. In this situation, it would be quite helpful and helpful to the doctors if a model could be created to score the severity of the sickness. Deep learning and machine learning are two AI techniques that are increasingly active in computer-aided design systems. These systems help experts diagnose patients by assisting in the detection of irregularities in medical images. The severity of autoimmune diseases is still unknown, despite the popularity of AI-assisted techniques like Deep Learning and other intelligent methods in the detection of various diseases, and more specifically in the grading and classification of the types as well as symptoms of autoimmune diseases like Type 1 diabetes, psoriasis/psoriatic arthritis, etc. This chapter presents a revolutionary AI-assisted model for rating the severity of autoimmune illnesses to lower the danger of people being attacked.