Machine Learning and the Management of Hematological Malignancies

The increasing integration of machine learning into the clinical and research landscapes of blood cancers merits understanding and attention from unfamiliar researchers and clinicians alike, according to a review recently published in Lancet Haematology. Senior author and Director of Cleveland Clinic’s Center for Clinical Artificial Intelligence Aziz Nazha, MD worked with a team to develop a computer model for prognostication for acute myeloid leukemia patients with more algorithms under development. He and his coauthors present in the Lancet article an overview of key terminology and current concepts pertinent to any clinician. Read the article here.