The future of clinical diagnosis and treatment of hematologic diseases will inevitably involve
the integration of artificial intelligence (AI)-based systems into routine practice to support the …

The clinical phenotype of primary and post–polycythemia vera and postessential
thrombocythemia myelofibrosis (MF) is dominated by splenomegaly, symptomatology, a …

Artificial intelligence has revolutionized medical diagnosis, particularly for cancers. Acute
myeloid leukemia (AML) diagnosis is a tedious protocol that is prone to human and machine …

Obtaining large pre-trained models that can be fine-tuned to new tasks with limited
annotated samples has remained an open challenge for medical imaging data. While pre …

While optical microscopy inspection of blood films and bone marrow aspirates by a
hematologist is a crucial step in establishing diagnosis of acute leukemia, especially in low …

Simple Summary Today, the classification of acute myeloid leukemia is mainly based on
genetic aberrations found in leukemic cells. Classifying this disease is necessary for exact …

Leukocytes serve as an important barrier to healthy immunity in the body and play an
important role in fighting diseases. Manual morphological examination of leukocytes is the …

Abstract The recently developed International Consensus (IC) classification of hematologic
neoplasms is primarily based on input from clinical advisory committees composed of …

Explainable AI is deemed essential for clinical applications as it allows rationalizing model
predictions, helping to build trust between clinicians and automated decision support tools …

Leukemia classification relies on a detailed cytomorphological examination of Bone Marrow
(BM) smear. However, applying existing deep-learning methods to it is facing two significant …