Toward Artificial Intelligence–Driven Pathology Assessment for Hematologic Malignancies

Abstract

In this issue of Blood Cancer Discovery, Brück and colleagues applied unsupervised and supervised machine learning to bone marrow histopathology images from patients with myelodysplastic syndrome (MDS). Their study provides new insights into the pathobiology of MDS and paves the way for increased use of artificial intelligence for the assessment and diagnosis of hematologic malignancies.