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Academic Radiology|April 29, 2026
Blood Oxygenation Level-Dependent MRI for Predicting Lymphovascular Space Invasion in Cervical Squamous Cell Carcinoma Treated with Neoadjuvant Chemotherapy: A Prospective StudyLiang Yin, Jing Zhang, Yaxuan Pang, et al.
Academic Radiology|March 4, 2026
From Hype to Implementation: RRA Perspective on Strategies for Adapting Radiology Departments to Emerging TechnologiesNicole Brofman, Eun Langman, Jessica M Sin, et al.
Academic Radiology|February 28, 2026
Association Between MRI Case Volume and Confidence in Interpretation Among Current and Recently Graduated Canadian Diagnostic Radiology ResidentsCourtney Cheng, Natasha Larocque, William Warnica, et al.
Academic Radiology|March 7, 2026
Ultrasound Video-Based Deep Learning Model for Predicting Axillary Lymph Node Status and Nodal Burden in Breast CancerJiaheng Huang, Qing Xia, Yuqi Yan, et al.
Academic Radiology|June 8, 2026
Radiopharmaceutical Transit Timing in Pediatric and Young Adult Nuclear Medicine CSF Shunt Imaging: A 5-Year Retrospective ReviewMishka G Hoo Kim, Cara E Morin, Susan E Sharp, et al.
Academic Radiology|April 21, 2026
Development of Novel and Interpretable Automated Models for Predicting Total Knee Replacement in Knee Osteoarthritis: An International Multicenter StudyFanfan Zhao, Yao Chen, Xiaoyue Zhou, et al.
Academic Radiology|April 23, 2026
Bolstering the Performance of Breast Radiologists with AI-CAD in Mammography: A Multireader StudyWu Lin Low Ong, Wei Ming Ian Tay, Ma Theresa Buenaflor, et al.
Academic Radiology|April 23, 2026
Correlation between Cerebral Small Vessel Disease and Brain Artery Remodeling and Its Hemodynamic Characteristics: An Investigation Based on 4D Flow MRIKunjiang Hu, Tiantian Liu, Zhili Pan, et al.
Academic Radiology|April 10, 2026
The Rapid Long-axis Strain-based Prognostic Models Evaluate Composite Adverse Events for Asymptomatic Dextro-Transposition of the Great Arteries Patients after the Switch OperationLiwei Hu, Chen Guo, Xinrong Liu, et al.
Academic Radiology|April 10, 2026
Predicting Radiology Burnout via Machine Learning: A Cohort StudyCan Ma, Xia Liu, Mi Su, et al.
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