Radiomics analysis is a powerful tool aiming to provide diagnostic and prognostic patient
information directly from images that are decoded into handcrafted features, comprising …

Soft‐tissue sarcomas (STS) represent a group of rare and heterogeneous tumors associated
with several challenges, including incorrect or late diagnosis, the lack of clinical expertise …

Background It is important to diagnose sclerotic bone lesions in order to determine treatment
strategy. Purpose To evaluate the diagnostic performance of a CT radiomics–based …

Purpose In high-grade soft-tissue sarcomas (STS) the standard of care encompasses
multimodal therapy regimens. While there is a growing body of evidence for prognostic …

In the last two decades, relevant progress has been made in the diagnosis of
musculoskeletal tumors due to the development of new imaging tools, such as diffusion …

Simple Summary In soft-tissue sarcoma (STS) patients, the decision for the optimal treatment
modality largely depends on STS size, location, and a pathological measure that assesses …

Rationale and Objectives The purpose of this systematic review and meta-analysis was to
assess the quality and diagnostic accuracy of MRI-based radiomics for predicting Ki-67 …

This article proposes a summary of the current status of the research regarding the use of
radiomics and artificial intelligence to improve the radiological assessment of patients with …

Background Preoperative prediction of soft tissue sarcoma (STS) grade is important for
treatment decisions. Therefore, formulation an STS grade model is strongly needed …

Objective To develop and explore the usefulness of an artificial intelligence system for the
prediction of the need for dental extractions during orthodontic treatments based on gender …