The application of machine learning to imaging in hematological oncology: A scoping review.

Background: Here, we conducted a scoping review to (i) establish which machine learning (ML) methods have been applied to hematological malignancy imaging; (ii) establish how ML is being applied to hematological cancer radiology; and (iii) identify addressable research gaps.

Methods: The review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews guidelines. The inclusion criteria were (i) pediatric and adult patients with suspected or confirmed hematological malignancy undergoing imaging (); (ii) any study using ML techniques to derive models using radiological images to apply to the clinical management of these patients (); and (iii) original research articles conducted in any setting globally ().