Accuracy of artificial intelligence for the detection of intracranial hemorrhage and chronic cerebral microbleeds: a systematic review and pooled analysis.
Stavros MatsoukasJacopo ScaggianteBraxton Riley SchuldtColton J SmithSusmita ChennareddyRoshini KalagaraShahram MajidiJoshua B BedersonJohanna T FifiJ MoccoChristopher Paul KellnerPublished in: La Radiologia medica (2022)
Numerous AI-driven software tools have been developed over the last decade. On average, they are characterized by high performance and expert-level accuracy for the diagnosis of ICH and CMBs. As a result, implementing these tools in clinical practice may improve workflow and act as a failsafe for the detection of such lesions. REGISTRATION-URL: https://www.crd.york.ac.uk/prospero/ Unique Identifier: CRD42021246848.