AI-Driven and IOT-Assisted Framework for Early Detection and Monitoring of Leukemia

Leukemia is one of the most challenging hematological malignancies where early detection significantly improves patient outcomes. Recent advancements in Artificial Intelligence (AI) and Internet of Things (IoT) technologies have enabled automated analysis of medical data, real-time monitoring, and predictive modeling for leukemia patients. This study proposes an AI-driven and IoT-assisted framework for early detection and continuous monitoring of leukemia. Simulated datasets were generated to evaluate the framework, demonstrating high accuracy in detecting abnormal hematological patterns and potential treatment responses.

Keywords:

Artificial Intelligence , Internet of Things , Leukemia , Machine Learning , Early Detection , Medical Monitoring