Radiology, Radiographics (RSNA)

Espacio editorial virtual

Predicción del carcinoma hepatocelular macrotrabecular masivo y pronóstico asociado mediante ecografía con contraste y características clínicas

Radiol Imaging Cancer. 2025 Jul;7(4):e240419.

Jiapeng Wu, Sisi Liu et al

Deep Learning Model for Real-Time Nuchal Translucency Assessment at Prenatal US

Radiology: Artificial Intelligence 2025; 7(4):e240498

Zhang, Y, Yang X, Ji C, Hu X, Cao Y, Chen C et al

Prognostic Value of Myocardial Parametric Mapping in Patients with Acute Myocarditis: A Retrospective Study

Radiology: Cardiothoracic Imaging 2025; 7(1):e240125

Wang Y, Duan X, Zhu L, Xu J, Zhou D, Yang W, Jiang M, Zhang H, Sirajuddin A, Arai AE, Zhao S, Wang H, Lu M.

Performance of Lung Cancer Prediction Models for Screening-detected, Incidental, and Biopsied Pulmonary Nodules

Radiology: Artificial Intelligence 2025; 7(2):e230506

Li TZ, Xu K, Krishnan A, Gao R, Kammer MN, Antic S, Xiao D, Knight M, Martinez Y, Paez R, Lentz RJ, Deppen S, Grogan EL, Lasko TA, Sandler KL, Maldonado F, Landman BA.

Development and Validation of a Deep Learning Model Based on MRI and Clinical Characteristics to Predict Risk of Prostate Cancer Progression

Radiology: Imaging Cancer

Christian Roest, Thomas C. Kwee, Igle J. de Jong, Ivo G. Schoots, Pim van Leeuwen, Stijn W. T. P. J. Heijmink, Henk G. van der Poel, Stefan J. Fransen, Anindo Saha, Henkjan Huisman y Derya Yakar