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- Evaluating the Intermediate Suspicion Category in Thyroid Nodules with AI Assistance: A Comparative Analysis of C-TIRADS, ACR-TIRADS, and ATA Guidelinesby Xin-Xin Lin, Ji-Hang Chen, Jian-Yang Huang, Shao-Hong Wu, Han Xiao, Rui Cui, Wen-Juan Tong, Wei Wang on July 24, 2026 at 12:00 am
To compare diagnostic performance and fine-needle aspiration (FNA) decision-making for thyroid nodules classified as “Intermediate Suspicion” across three major ultrasound-based risk stratification systems (2017 ACR-TIRADS, 2015 ATA guidelines, and 2020 C-TIRADS), with and without AI assistance.
- Clinical Management and Outcomes Based on Functional CAD-RADS Compared to Anatomical CAD-RADS in Patients with Stable Coronary Artery Diseaseby Chun Xiang Tang, Fan Zhou, Hong Yan Qiao, U. Joseph Schoepf, Tong Yuan Liu, Ya Liu, Long Jiang Zhang on July 23, 2026 at 12:00 am
While anatomical Coronary Artery Disease Reporting and Data System (CAD-RADS) is widely used for coronary CT angiography (CCTA) reporting, it has limited specificity for predicting lesion-specific ischemia. This study evaluates whether the novel functional CAD-RADS, integrating CT-derived fractional flow reserve (CT-FFR), provides superior 5-year prognostic value in patients with stable coronary artery disease (CAD).
- Reporting and Data Systems (RADS) in Radiology: The Chinese Experienceby Xiang Li, Jing-Yi Liu, Long-Jiang Zhang, Hua-Dan Xue on July 23, 2026 at 12:00 am
The Reporting and Data Systems (RADS) framework has become a key driver of structured reporting and standardization in radiology. This review summarizes the development and local adaptation of major RADS systems in China. Established RADS frameworks (such as those for breast, liver, and lung imaging) are already widely implemented in clinical practice,while more recently introduced frameworks (including thyroid, prostate, and coronary artery disease RADS) are gaining broader adoption, whereas emerging frameworks (such as ovarian-adnexal, bone, colon, neck and lymph node RADS) remain at an early exploratory stage.
- Medicare Graduate Medical Education Funding and Radiology Residency Growth: Trends and Implications for Workforce Policyby Keervani Kandala, Dheeman Futela, Seyedmehdi Payabvash, Dhairya A. Lakhani, Dheeraj Gandhi, Richard Duszak, Ajay Malhotra on July 22, 2026 at 12:00 am
- Automated Quality Control of Breast Ultrasound Reports Using a BI-RADS-Prompted Large Language Model: A Pilot Multicenter Study Involving 60 Hospitals in Chinaby Siyu Lu, Hongyan Wang, Jian Wang, Yinyu Ye, Xiaonan Guo, Dong Ni, Yuxin Jiang on July 22, 2026 at 12:00 am
To evaluate the feasibility of using large language model (LLM) for automated quality control (QC) of breast ultrasound (US) reports.

