Published Paper Details:

The purpose of this study is to present an overview of how artificial intelligence (AI) might be utilized to solve health problems caused by autoimmune illnesses. More than 80 kinds of autoimmune disorders impact a wide array of areas of the body. Diagnosis may sometimes be challenging since these symptoms might mimic those of other more prevalent diseases. Autoimmune system diseases are characterized by either unusually low or excessive immune system activities [1]. When the immune system becomes too active, the body fights and destroys its tissues. Immune deficiency disorders weaken the body's capacity to combat intruders and make infection vulnerable. The immune system may produce antibodies in reaction to an unexpected cause, which targets their tissues rather than combat infection. In general, autoimmune disorders are treated by decreasing immune system activation [1]. In the last decade, the treatment plan for self-immune illnesses has changed significantly, leading mainly from precision medicine to precise health and from precise efforts in the healthcare system [1,2]. To comprehend and apply these methods pragmatically, the motivations, gaps, and limits of precision medicine need to be understood. The importance of earning the confidence of the people and patients cannot be overstated, but it is important to recognize that innovations like artificial intelligence still necessitate context, which can only be made available by human intervention, or what is known as augmented machine learning.