Recognising errors in AI implementation in radiology: A narrative review [0.03%]
放射学中人工智能实施错误的认识:叙事综述
Nikolaos Stogiannos,Renato Cuocolo,Tugba Akinci DAntonoli et al.
Nikolaos Stogiannos et al.
The implementation of AI can suffer from a wide variety of failures. These failures can impact the performance of AI algorithms, impede the adoption of AI solutions in clinical practice, lead to workflow delays, or create unnecessary costs....
Deep learning reconstruction enhances bone visualization in zero echo time MRI for cervical spondylosis: A prospective study [0.03%]
基于深度学习的重建增强颈椎脊椎病ZE序列MRI骨组织可视化效果:一项前瞻性研究
Li Peng,Xuelin Pan,Huilou Liang et al.
Li Peng et al.
Objective: To evaluate the use of deep learning-based reconstruction (DLR) in zero echo time (ZTE) MRI to improve image quality and reduce scan time for assessing cervical spondylosis. ...
Use of abbreviated breast MRI in benign lesions: how early is enough? [0.03%]
缩序乳腺MRI在良性病变中的应用:多早合适?
Deniz Esin Tekcan Sanli
Deniz Esin Tekcan Sanli
Impact on MRI technologist of a PI-QUAL v2 educational program on prostate MRI image quality assessment [0.03%]
PI-QUAL v2教育计划对MRI技师前列腺MRI图像质量评估的影响
Bruno Curia,Chandra Bortolotto,Leonardo Brizzi et al.
Bruno Curia et al.
Purpose: The Prostate Imaging Quality scoring system version 2 (PI-QUAL v2) is a new scoring system used to assess the diagnostic quality of prostate magnetic resonance imaging (pMRI). This study investigated the impact o...
Cross-sectional imaging of congenital and acquired hepatic vascular abnormalities [0.03%]
先天性和获得性肝血管异常的影像学检查
Cesare Maino,Federica Vernuccio,Roberto Cannella et al.
Cesare Maino et al.
Cross-sectional imaging plays a crucial role in the diagnosis and management of both congenital and acquired hepatic vascular abnormalities. Congenital vascular anomalies, such as arteriovenous malformations, portal vein and hepatic vein an...
Complementing interpretable machine learning with synergistic analytical strategies for thyroid cancer recurrence prediction [0.03%]
结合协同分析策略的可解释机器学习在甲状腺癌复发预测中的应用
Souichi Oka,Yoshiyasu Takefuji
Souichi Oka
This correspondence critically examines the methodology of Schindele et al. (2025) on thyroid cancer recurrence prediction. While their interpretable XGBoost model achieved a high predictive accuracy of 95.8% and a 0.947 AUROC, it is crucia...
Associations between the meniscal spatial-specific signal indexes of T2-weighted images and the presence of radiographic knee osteoarthritis [0.03%]
内侧和外侧半月板T2值与X线膝骨关节炎之间的关系
Yuqian Zhang,Kaida Bo,Tingmiao Wu et al.
Yuqian Zhang et al.
Rationale and objective: Volume and signal intensity of meniscus in T2-weighted images are typical manifestations of meniscal injuries, which are risk factors for the presence of radiographic knee osteoarthritis (RKOA). T...
Response to the Letter to the Editor: Diagnostic performance of abbreviated breast MRI in differentiating intraductal papilloma from ductal secretion [0.03%]
来信回应:鉴别诊断乳腺导管乳头状瘤与导管积乳的简化乳腺MRI检查的诊断性能
Gülbanu Güner,Sevde Nur Emir
Gülbanu Güner
Accuracy evaluation of an automatic landmarking method based on 3D segmented CT scans of full lower limbs with knee osteoarthritis [0.03%]
基于CT扫描的全自动下肢解剖标志定位方法评测
Clément Horteur,Nolwenn Fougeron,Benoît Gaulin et al.
Clément Horteur et al.
In preoperative planning, a number of techniques for registration of anatomical landmarks on bones, or "bones landmarking", have been developed for automatic measurement of lower limbs. However, the evaluation of these techniques is often n...
The influence of anatomical shape variations of wrist bones on bone orientation values in CT scans [0.03%]
腕骨解剖结构变异对CT扫描中骨方向值的影响
Maranda Haenen,Stefan Hummelink,Eline Karstanje et al.
Maranda Haenen et al.
Introduction: Four-Dimensional Computed Tomography (4DCT) shows promise in diagnosing scapholunate ligament (SL) lesions. Wrist motion analysis requires local coordinate systems (LCS) for carpal bones, which might be affe...