Revolutionizing Medical Decision-Making: Predictive Technologies using AI and the Internet of Medical Things

Leukemia is a life-threatening hematologic malignancy that disrupts normal blood cell production due to the uncontrolled growth of white blood cells (WBCs). Detecting leukemia early and accurately is essential for timely treatment and better survival rate for patients. Traditional diagnostic methods, such as examining blood smears under a microscope and performing bone marrow biopsies, can be slow and vary in interpretation among experts. These challenges have led to the growing adoption of artificial intelligence (AI) based approaches, especially machine learning (ML) and deep learning (DL) techniques, to automate and enhance leukemia detection. This research work proposes an advanced Leukemia detect framework which combines several stages of image processing, segmentation, feature extraction and classification to provide efficient and precise leukemia diagnosis.