Radiomics and Artificial Intelligence in Uterine Sarcomas: A Systematic Review.

ABSTRACT: Recently, artificial intelligence (AI) with computerized imaging analysis is attracting the attention of clinicians, in particular for its potential applications in improving cancer diagnosis. This review aims to investigate the contribution of radiomics and AI on the radiological preoperative assessment of patients with uterine sarcomas (USs). Our literature review involved a systematic search conducted in the last ten years about diagnosis, staging and treatments with radiomics and AI in USs. The protocol was drafted according to the systematic review and meta-analysis preferred reporting project (PRISMA-P) and was registered in the PROSPERO database (CRD42021253535). The initial search identified 754 articles; of these, six papers responded to the characteristics required for the revisi

SUBMITTER: Ravegnini G 

PROVIDER: S-EPMC8624692 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature