Quantitative analysis of medical images can provide objective tools for diagnosis,
prognostication, and disease monitoring. Radiomics refers to automated extraction of a large …

Objectives We conducted a systematic review and meta-analysis of current publications on
the potential role of non-contrast-enhanced computed tomography (NCCT) radiomics as a …

Hematoma expansion (HE) is a modifiable risk factor and a potential treatment target in
patients with intracerebral hemorrhage (ICH). We aimed to train and validate deep-learning …

Objective To devise and validate radiomic signatures of impending hematoma expansion
(HE) based on admission non-contrast head computed tomography (CT) of patients with …

Objectives To develop and validate a radiomic-based model for differentiating hemorrhage
from iodinated contrast extravasation of intraparenchymal hyperdense areas (HDA) …

(1) Background: Radiomics analysis of spontaneous intracerebral hemorrhages on
computed tomography (CT) images has been proven effective in predicting hematoma …

Purpose To evaluate the quality of radiomics studies on stroke using a radiomics quality
score (RQS), Minimum Information for Medial AI reporting (MINIMAR) and Transparent …

Radiomics involves the integration of computer technology, big data analysis, and clinical
medicine. Currently, there have been initial advancements in the fields of acute …

Background Accurate risk stratification of patients with intracerebral hemorrhage (ICH) could
help refine adjuvant therapy selection and better understand the clinical course. We aimed …

The mortality rate of acute intracerebral hemorrhage (ICH) can reach up to 40%. Although
the radiomics of ICH have been linked to hematoma expansion and outcomes, no research …