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Abdominal Radiology (New York)|June 19, 2025
Artificial intelligence in imaging diagnosis of liver tumors: current status and future prospectsMasatoshi Hori, Yuki Suzuki, Keitaro Sofue, et al.
Abdominal Radiology (New York)|June 17, 2025
Hemorrhagic complications after ultrasound-guided percutaneous native renal biopsy: a prediction model based on clinical and ultrasonographic features under a nest case-control designXin Zheng, Fuqiu Tang, Tongyi Huang, et al.
Abdominal Radiology (New York)|June 12, 2025
Comparison of the safety and effectiveness of cryoablation for T1 renal cell carcinoma in organ or tissue transplant recipients as compared to non-transplant patientsShamar Young, Daniel Zarama, Donna D'Souza, et al.
Abdominal Radiology (New York)|June 11, 2025
Efficacy of a large language model in classifying branch-duct intraductal papillary mucinous neoplasmsMai Sato, Koichiro Yasaka, Shimon Abe, et al.
Abdominal Radiology (New York)|May 13, 2025
The utility of low-dose pre-operative CT of ovarian tumor with artificial intelligence iterative reconstruction for diagnosing peritoneal invasion, lymph node and hepatic metastasisXiaojia Cai, Jintao Han, Wanhui Zhou, et al.
Abdominal Radiology (New York)|February 16, 2026
Baseline CT imaging features combined with clinical indicators predict prognosis in unresectable HCC treated with HAIC plus targeted therapy and immunotherapyHaiqin Deng, Liu Liu, Ziyu Liu, et al.
Abdominal Radiology (New York)|February 5, 2026
Integrating shear wave elastography and clinical characteristics for noninvasive diagnosis of IgA nephropathyJiaxin Chen, Shushang Zhang, Dalin Ye, et al.
Abdominal Radiology (New York)|January 23, 2026
Decision tree models combining Bi-parametric vesical imaging reporting and data system and apparent diffusion coefficient metrics for predicting muscle-invasive bladder cancerDaichi Sugawara, Kento Hatakeyama, Motoko Konno, et al.
Abdominal Radiology (New York)|February 5, 2026
T2 hypointense lesions of the abdomen: imaging spectrum and diagnostic considerationsChristopher Mejias, Priya Pathak, Arash Azhideh, et al.
Abdominal Radiology (New York)|January 20, 2026
Improved visualization of pancreas and tumor boundaries using high-frequency kernels with deep-learning image reconstruction at high-strength levelNobuyuki Kawai, Yoshifumi Noda, Tetsuro Kaga, et al.
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