Access and Reimbursement for Artificial Intelligence in Radiology: Taiwan's Perspective [0.03%]
台湾视角下放射科人工智能的获取和报销问题
Wen-Jeng Lee,Chien-Chang Lee,Ho-Fai Wong
Wen-Jeng Lee
Effects of Computed Tomography Technical Parameters on Body-Composition Analysis [0.03%]
CT参数对体成分分析影响的研究
Jin Young Yoo,Moon Hyung Choi
Jin Young Yoo
Body-composition analysis (BCA) is gaining increasing clinical importance, because abnormalities in muscle and fat distribution are closely associated with patient outcomes for various diseases. Although several methods for assessing body c...
Soomin Park,Chi Wai Stephen Cheung,Vimal Raj et al.
Soomin Park et al.
Objective: To evaluate the current status of cardiac magnetic resonance imaging (CMR) practice across Asian regions, guiding future clinical advancements and academic collaboration in CMR. ...
Access and Reimbursement for Artificial Intelligence in Radiology: A Thailand Perspective [0.03%]
泰国放射学人工智能的准入和报销政策
Nakarin Inmutto,Wiwatana Tanomkiat,Juntima Euathrongchit
Nakarin Inmutto
Access and Reimbursement for Artificial Intelligence in Radiology: A Singapore Perspective [0.03%]
人工智能在放射学中的获取和报销：新加坡视角
Francis Cho Hao Ho,Charles Xian Yang Goh,Tze Chwan Lim et al.
Francis Cho Hao Ho et al.
Artificial Intelligence Access and Adoption in Radiology in Saudi Arabia: Current Status [0.03%]
沙特阿拉伯放射学中人工智能的准入和采用：当前状态
Rayan A Ahyad,Arwa Badeeb
Rayan A Ahyad
Jae-Yeon Hwang,Young Hun Choi,Hong Eo
Jae-Yeon Hwang
When AI Meets Coronary CT: Overcoming Challenges and Enhancing Accuracy in CAD-RADS Reporting [0.03%]
人工智能遇上冠脉CT：迎接挑战 提高CAD-RADS报告准确性
Weikai Dong,Jiaming Fan,Wei Li
Weikai Dong
Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM): 2025 Updates [0.03%]
医疗保健中大型语言模型准确性报告的清晰评估的最小报告项目（MI-CLEAR-LLM）：2025年更新
Seong Ho Park,Chong Hyun Suh,Jeong Hyun Lee et al.
Seong Ho Park et al.
Recent systematic reviews have raised concerns about the quality of reporting in studies evaluating the accuracy of large language models (LLMs) in medical applications. Incomplete and inconsistent reporting hampers the ability of reviewers...
Nonmass Lesions on Breast Ultrasound: Radiologic-Pathologic Correlation and a Practical Guide to Diagnostic Approach [0.03%]
乳腺超声上的非肿块型病变：影像与病理对照及诊断方法实用指南
Haejung Kim,Hyunwoo Lee,Ji Soo Choi
Haejung Kim
Breast lesions that do not meet the criteria for a mass on ultrasound (US), analogous to asymmetry on mammography or nonmass enhancement on MRI, are frequently encountered during diagnostic or screening US. These lesions, referred to as non...