Performance Comparison of Cutting-Edge Large Language Models on the ACR In-Training Examination: An Update for 2025 [0.03%]
大型语言模型在2025年ACR住院医师资格考试中的性能比较：更新版
Austin Young,Rinald Paloka,Ariba Islam et al.
Austin Young et al.
Purpose: This study represents a continuation of prior work by Payne et al. evaluating large language model (LLM) performance on radiology board-style assessments, specifically the ACR diagnostic radiology in-training exa...
Automated Coronary Artery Calcium Scoring Using Deep Learning: Validation Across Diverse Chest CT Protocols [0.03%]
基于深度学习的自动化冠脉钙化积分检测：跨多种胸部CT检查协议的验证研究
Eduardo Mineo,Antonildes N Assuncao-Jr,Carla Franco Grego da Silva et al.
Eduardo Mineo et al.
Rationale and objectives: Coronary artery calcium (CAC) scoring refines atherosclerotic cardiovascular disease (ASCVD) risk but is not frequently reported on routine non‑gated chest CT (NCCT), whose use expanded in the C...
Radiologic Windchill [0.03%]
放射性风寒温度计
Shima Behzad,Jacqueline Ortiz Boucher,Nikan Shafiei Alavijeh et al.
Shima Behzad et al.
The concept of "radiologic windchill" describes how external pressures-such as escalating imaging demand, rapid technological change, and persistent staffing shortages-can transform a routine radiology shift into an overwhelming experience....
Clinical Outcomes and Volume Reduction Predictors Following Microwave Ablation of Benign Thyroid Nodules: A Comparative Study of Solitary Nodules and Multinodular Goiters [0.03%]
微波消融治疗甲状腺良性结节的临床疗效及体积缩减影响因素分析：单发结节与多结节性甲状腺肿的比较研究
Uluhan Eryuruk,Tumay Bekci̇,Mehmet Tonkaz et al.
Uluhan Eryuruk et al.
Rationale and objectives: To investigate the efficacy and safety of microwave ablation (MWA) for benign thyroid nodules, including a comparison of volume reduction rates (VRR) between solitary nodules and multinodular goi...
Development and Validation of Multiparametric MRI-based Clini-radiomic Model for Preoperative Prediction of Somatotroph Adenomas Subtypes: A Multicenter Study [0.03%]
基于临床影像组学模型的生长激素腺瘤术前分型的建立与验证：一项多中心研究
Yanghua Fan,Wentai Zhang,Anna Mou et al.
Yanghua Fan et al.
Rationale and objectives: Preoperative differentiation molecular subtype is critical for tailoring management of somatotroph adenomas, as these subtypes differ markedly in invasiveness, treatment response, and recurrence ...
Comprehensive Assessment of Tumor Stromal Heterogeneity in Bladder Cancer by Deep Learning and Habitat Radiomics [0.03%]
基于深度学习和生境影像组学的膀胱肿瘤间质异质性综合评估
Yiheng Du,Yiqun Sui,Yongli Tao et al.
Yiheng Du et al.
Rationale and objectives: Tumor stromal heterogeneity plays a pivotal role in bladder cancer progression. The tumor-stroma ratio (TSR) is a key pathological marker reflecting stromal heterogeneity. This study aimed to dev...
Comparison of Prostate-Specific Membrane Antigen Positron Emission Tomography and Conventional Imaging Modalities in the Detection of Biochemical Recurrence of Prostate Cancer and Assessment of the Role of Artificial Intelligence: A Systematic Review and Meta-analysis [0.03%]
前列腺特异性膜抗原正电子发射断层显像与常规影像学方法在检测生化复发性前列腺癌中的对比及评估人工智能的作用：系统评价和荟萃分析
Haiying Zhang,Cheng Xie,Changrong Huang et al.
Haiying Zhang et al.
Purpose: We conducted a systematic review and meta-analysis to assess and compare the diagnostic performance of prostate-specific membrane antigen positron-emission tomography (PSMA PET) with conventional imaging modaliti...
Quantitation of Acute Extremity Compartment Syndrome in Rabbits Using Shear-wave Elastography to Assess Viscoelasticity [0.03%]
采用切变波弹性图技术评估急性四肢间隔综合征的黏弹性和量化研究兔子模型中的变化规律
Xiaobo Ren,Yiqing Zhang,Peng Zhai et al.
Xiaobo Ren et al.
Rationale and objectives: Acute extremity compartment syndrome (AECS) lacks reliable noninvasive diagnostics. This study aimed to validate shear-wave elastography-derived viscoelastic parameters for assessing muscle patho...
Response to Letter to Editor: "Enhancing Diagnostic Efficacy of AI in Mammography: Considerations for Clinical Integration" [0.03%]
关于“提高AI在乳腺X线摄影诊断中的有效性：临床整合考虑”的读者来信回复
Erkin Aribal,Mustafa Ege Seker
Erkin Aribal
18F-FDG PET/CT-based Radiomics Analysis of Different Machine Learning Models for Predicting Pathological Highly Invasive Non-small Cell Lung Cancer [0.03%]
基于18F-FDG PET/CT的影像组学分析不同机器学习模型预测病理高侵袭性非小细胞肺癌的能力
Yi Li,Meng-Jun Shen,Jia-Wei Yi et al.
Yi Li et al.
Rationale and objectives: This study aimed to develop and validate machine learning models integrating clinicoradiological and radiomic features from 2-[18 F]-fluoro-2-deoxy-D-glucose (18F-FDG) positron emission tomograph...