Following the previous part of the narrative review on artificial intelligence (AI) applications
in positron emission tomography (PET) using tracers rather than 18 F-fluorodeoxyglucose …

This study assesses the feasibility of using a sample-efficient model to investigate radiomics
changes over time for predicting progression-free survival in rare diseases. Eighteen high …

Introduction Large datasets are required to ensure reliable non-invasive glioma assessment
with radiomics-based machine learning methods. This can often only be achieved by …

Abstract Background Glioblastoma Multiforme (GBM) is a fast-growing and highly
aggressive brain tumor that invades the nearby brain tissue and presents secondary nodular …

To explore the feasibility of combined radiomics of post-treatment I-131 total body scan
(TBS) and clinical parameter to predict successful ablation in low-risk papillary thyroid …

Abstract Purpose According to the World Health Organization classification for tumors of the
central nervous system, mutation status of the isocitrate dehydrogenase (IDH) genes has …

Modern methodology of PET/CT quantitative analysis in patients with glioblastomas is not
strictly standardized in clinic settings and does not exclude the influence of the human factor …

影像组学(radiomics) 是一种从标准医学影像中定量地提取特征的技术. 借助机器学习构建预测
或诊断模型, 能够在临床决策支持系统中提取和应用数据, 以提高诊断的准确性 …

To explore the feasibility of combined radiomics of post‑treatment I‑131 total body scan
(TBS) and clinical parameter to predict successful ablation in low‑risk papillary thyroid …

胶质瘤是成人最常见的原发性颅内肿瘤, 其中高级别胶质瘤患者具有生存期短, 预后差的特点.
高级别胶质瘤的诊断, 治疗, 疗效评价及预后预测对于改善患者生存有着重要意义 …