How AI used in diagnosis of Acute Lymphoblastic Leukemia (ALL)
The diagnosis of Acute Lymphoblastic Leukemia (ALL) using artificial intelligence (AI) has shown significant advancements, leveraging various deep learning models and techniques to improve accuracy and efficiency. These AI-driven methods aim to automate and enhance the diagnostic process, reducing human error and providing faster results. The integration of AI in ALL diagnosis is explored through different approaches, each offering unique benefits and challenges. Introduction Acute Lymphoblastic Leukemia (ALL) is a type of cancer that affects the blood and bone marrow, primarily causing an overproduction of immature white blood cells, known as lymphoblasts. ALL is most commonly diagnosed in children, though it can also occur in adults. This aggressive form of leukemia can spread rapidly, affecting various organs and tissues, making early detection and treatment crucial for improving outcomes. Early diagnosis of ALL is essential because it allows for prompt intervention, significa...