Abstract
The genetic diversity of acute myeloid leukemia creates a major obstacle for current research and clinical practice. Despite advances in molecular genetic techniques, various omics approaches, and artificial intelligence, developing a universal algorithm to thoroughly assess each clinical case remains difficult. Starting with current recommendations and classifications, this narrative review highlights the most important diagnostic options available today, new opportunities that are emerging, and the challenges in diagnosing and managing this complex disease.