Correction: League of Radiologists-an End-to-End AI Framework for Scalable and Gamified Radiology Education: A Pilot Implementation in Chest Radiography [0.03%]
订正：放射学家联盟——一个用于放射学教育的端到端AI框架：胸部X光成像中的试点应用实施
Hyunji Kim,Young-Tak Kim,Saul Langarica et al.
Hyunji Kim et al.
Published Erratum
Journal of imaging informatics in medicine. 2026 Apr 29. DOI:10.1007/s10278-026-01982-4 2026
Temporal Evolution of Diagnostic Code-Narrative Discrepancy in Pancreatic Imaging Surveillance: A Longitudinal Natural Language Processing Study [0.03%]
基于自然语言处理的胰腺影像随访中的诊断代码-文本不一致的纵向演变研究
Boyoung Kang
Boyoung Kang
Radiology reports for pancreatic cystic lesions frequently contain uncertainty expressions (rule-out (R/O), differential diagnosis (DDx)) alongside structured diagnostic codes. While cross-sectional studies have documented the prevalence of...
Semi-supervised Segmentation Network Based on Prototype-Oriented Local Contrastive Learning for Pregnancy Tissue in MR Images [0.03%]
基于原型导向局部对比学习的半监督分割网络用于磁共振图像中的妊娠组织分割
Ping Lou,Jie Ying,Feng Gao et al.
Ping Lou et al.
Cesarean scar pregnancy (CSP) is a severe form of ectopic pregnancy, where early screening and monitoring are critical to reducing the risk of prolonged uterine bleeding and other serious complications. Accurate segmentation of pregnancy ti...
Artificial Intelligence at the Service of the ENT: A New Perspective on Tympanic Membrane Perforations [0.03%]
面向耳鼻喉科的人工智能：鼓膜穿孔的新视角
Issam Berrajaa,Achraf Berrajaa,Achraf Amine Sbai et al.
Issam Berrajaa et al.
In this study, we present an innovative approach in medicine, leveraging the potential of artificial intelligence (AI) for the diagnosis of tympanic membrane perforations. Due to its central role in sound transmission, the tympanic membrane...
Radiologist-AI Collaboration for Ischemia Diagnosis in Small-Bowel Obstruction: Multicentric Development and External Validation of a Multimodal Deep Learning Model [0.03%]
放射科医生与AI合作诊断肠梗阻中的缺血：多模态深度学习模型的多中心开发和外部验证
Quentin Vanderbecq,Wen Fan Xia,Emilie Chouzenoux et al.
Quentin Vanderbecq et al.
This study aims to develop and externally validate a multimodal AI model for detecting ischemia complicating small-bowel obstruction (SBO). We combined 3D CT data with routine laboratory markers (C-reactive protein, neutrophil count) and, o...
Counterfactual Reasoning for Mammogram Classification via Semantic Texture Masking [0.03%]
基于语义纹理掩码的乳腺X线摄影反事实推理分类方法
Ridhi Arora,Juhun Lee
Ridhi Arora
Artificial intelligence-based computer-aided diagnosis (CADx) systems have seen growing adoption in mammography, yet the limited interpretability of their decision-making processes remains a barrier to clinical trust. The present study aime...
Panoramic Insights: Predicting Age and Gender from Dental X-Rays Using Deep Learning Models [0.03%]
全景视角：利用深度学习模型从牙科X光片预测年龄和性别
Omkar Khodwe,Pritish Kumar Varadwaj,Shalini Gupta
Omkar Khodwe
Age and gender estimation are crucial in forensic odontology for identification and legal purposes. Conventional methods utilizing manual interpretation like Demirjian's and Gustafson's techniques are labor-intensive and prone to observer b...
BA-UNet: A Boundary Augmented Segmentation Network for Cervical Cancer Radiotherapy [0.03%]
边界增强的宫颈癌放疗分割网络BA-UNet
Meijia Wang,Chenyu Zuo,Kun Wang et al.
Meijia Wang et al.
Accurate segmentation of the Clinical Target Volume (CTV) and Organs At Risk (OARs) is a prerequisite for effective cervical cancer radiotherapy. However, this task remains challenging due to the low tissue contrast of the CTV and the compl...
Artificial Intelligence in Dental and Orthopedic Skeletal Imaging: A Scoping Review of Methodological Convergence and Translational Gaps [0.03%]
口腔和骨科骨骼影像人工智能研究的方法学趋同与转化差距——系统综述
Man Hung,Isabella Strickler,Annabella Jensen et al.
Man Hung et al.
This scoping review aimed to answer the question: to what extent do artificial intelligence applications in dental and orthopedic skeletal imaging demonstrate true cross-disciplinary methodological convergence versus parallel development wi...
Prediction of FLAIR MRI from 18F-FDG PET/CT for the Evaluation of White Matter Hyperintensity Using Generative Adversarial Network [0.03%]
基于生成对抗网络的FLAIR MRI白质高信号预测研究
Kyeong Taek Oh,Sangwon Lee,Dongwoo Kim et al.
Kyeong Taek Oh et al.
White matter hyperintensities (WMH) may decrease cortical glucose metabolism and appear hypodense on 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) and computed tomography (CT), respectively. Currently, T2-weighted fluid-at...