Objective To evaluate the usage of a well-known and widely adopted checklist, Checklist for
Artificial Intelligence in Medical imaging (CLAIM), for self-reporting through a systematic …

Purpose To investigate the quality of reporting in radiomics research, with a focus on the
most basic technical parameters. Methods A PubMed literature search was conducted to …

Background Radiomics models trained on data from one center typically show a decline of
performance when applied to data from external centers, hindering their introduction into …

Radiomics as a member of the-omics family, has witnessed a remarkable surge in interest
among researchers over the past decade, resulting in an exponential increase in …

Objective This study aims to explore the opinions on the insurance coverage of artificial
intelligence (AI), as categorized based on the distinct value elements offered by AI, with a …

Objectives To evaluate the robustness of radiomics features among photon-counting
detector CT (PCD-CT) and dual-energy CT (DECT) systems. Methods A texture phantom …

BACKGROUND AND PURPOSE: MS is a chronic progressive, idiopathic, demyelinating
disorder whose diagnosis is contingent on the interpretation of MR imaging. New MR …

Objectives Achieving a consensus on a definition for different aspects of radiomics
workflows to support their translation into clinical usage. Furthermore, to assess the …

Background Lung cancer, the second most common cancer, presents persistently dismal
prognoses. Radiomics, a promising field, aims to provide novel imaging biomarkers to …

Purpose We aimed to integrate MR radiomics and dynamic hematological factors to build a
model to predict pathological complete response (pCR) to neoadjuvant chemoradiotherapy …