Introduction The early and accurate detection of blood cancers is critical for improving patient outcomes, as timely intervention significantly increases survival rates. Traditional diagnostic methods, such as bone marrow biopsies, flow cytometry, and genetic testing, while effective, can be time-consuming, labor-intensive, and subject to human interpretation errors. In the digital age, artificial intelligence (AI) is […]