Anaemia: A Scientific Overview on Types and Recent Advancements inthe Detection of Anaemia

Abstract: Anaemia is the term for low red blood cell numbers or a deficiency of hemoglobin, the protein that carries oxygen in red blood cells. This results in a reduction of oxygen-carrying capacity of blood to various tissues in the body, & lead to symptoms like weakness and exhaustion. There are various forms of anaemia, and they all have unique reasons. The main purpose of the review is to outline the types of anaemia and highlight the potential of artificial intelligence (AI) and machine learning (ML) tools in detection. There is high accuracy in identifying anaemia by using AI and ML tools that include analyzing the laboratory parameters and medical imaging. There are various Machine learning tools to identify anaemia in the past and treat anaemia by using AI tools. Promising approaches for effective anemia identification and treatment are offered by AI-assisted methods. By incorporating these advancements into clinical practice, the burden of undetected or improperly managed anemia could be lessened, and patient outcomes could be improved.