Background Machine learning (ML) and deep learning (DL) methods have recently
garnered a great deal of attention in the field of cancer research by making a noticeable …

Background Artificial intelligence (AI) is influencing our society on many levels and has
broad implications for the future practice of hematology and oncology. However, for many …

Breast cancer, lung cancer, skin cancer, and blood malignancies such as leukemia and
lymphoma are just a few instances of cancer, which is a collection of cells that proliferate …

The use of machine learning (ML) and deep learning (DL) methods in hematology includes
diagnostic, prognostic, and therapeutic applications. This increase is due to the improved …

Abstract Purpose of Review Artificial intelligence (AI), and in particular its subcategory
machine learning, is finding an increasing number of applications in medicine, driven in …

Leukocytes, produced in the bone marrow, make up around one percent of all blood cells.
Uncontrolled growth of these white blood cells leads to the birth of blood cancer. Out of the …

For the last few years, computer‐aided diagnosis (CAD) has been increasing rapidly.
Numerous machine learning algorithms have been developed to identify different diseases …

Leukemia is a cancer of blood-producing cells, including the bone marrow. Abnormal white
blood cells travel through blood vessels and multiply rapidly. Healthy cells in the body …

Simple Summary Artificial intelligence (AI) is a field that combines computer science with
robust datasets to solve problems. AI in medicine uses machine learning and deep learning …

The abnormal production of WBC (white blood cell) in the bone marrow is known as
leukemia. Leukemia is one of the most affecting diseases around the globe. Several types of …