Non-Contrast MRI Sequences for Ischemic Stroke: A Concise Overview for Clinical Radiologists by Bachtiar NA, Murtala B, Muis M, Ilyas MI, Abdul Hamid H, As'ad S, Tammasse J, Wuysang AD, Soraya GV

“…The aim of this paper is to provide a comprehensive overview of current MRI techniques and sequences for evaluating ischemic stroke, emphasizing the importance of non-contrast options and their clinical implications for radiologists in the diagnosis and management of ischemic stroke. …”
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Innovations and advances of digital dentistry in clinical practice by oral medicine and radiology specialists by Manisha Singh

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Application value of a deep learning model based on 3D ultrasound videos in assisting radiologists of different experience levels to differentiate benign and malignant breast masses by GUO Yuqing, WANG Changyan, LIU Yinchun, PANG Yun, ZHU Xia, GE Rui, LI Weiping, ZHANG Qi, CHEN Lin

“…Objective To establish a deep learning model based on 3D ultrasound videos (DL-3DUV) and investigate its application value in assisting radiologists with different levels of experience to differentiate benign and malignant breast masses. …”
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Multimodal imaging deep learning model for predicting extraprostatic extension in prostate cancer using MpMRI and 18 F-PSMA-PET/CT by Fei Yao, Heng Lin, Ying-Nan Xue, Yuan-Di Zhuang, Shu-Ying Bian, Ya-Yun Zhang, Yun-Jun Yang, Ke-Hua Pan

“…Additionally, the deep learning-assisted scoring model provided greater clinical net benefit than the radiologist EPE-grade score used by radiologists alone. …”
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Correlation between EPB Entrapment Test and Ultrasound Wrist Findings in Patients with De Quervain's Disease by Vijayaraja Elangovan, Srinivasan Rajappa, Gokul K Jeganathan, Lokesh K Sekaran

“…Both the surgeon and radiologist were blinded to each other's results. Surgery was done as a reference standard. …”
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Evaluation of root resorption levels in patients with bruxism by Sabrina Mascarenhas Vargas, Ronaldo Luís Almeida de Carvalho, Francielle Silvestre Verner, Fabíola Pessôa Pereira Leite

“…These were evaluated by a calibrated radiologist and classified as: grade 0 - no root resorption; grade 1 - mild resorption; grade 2 - moderate resorption; grade 3 – severe resorption; grade 4 - extreme resorption. …”
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Imaging insights in acute iron toxicity by Shiyam Sundaran, Murugan Gopalakrishnan, Venkatraman Indiran, Baskar A, Vetri Vignesh, Anchal Gupta

“…Autopsy findings revealed gastrointestinal mucosal erosion. A radiologist's role in diagnosing acute iron poisoning and assessing probable complication is significant.…”
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Clinical Outcomes of Balloon-Occluded Versus Plug-Assisted Retrograde Transvenous Obliteration in the Treatment of Gastric Varices by Youngjong Cho, Sung-Joon Park, Hyoung Nam Lee, Sangjoon Lee, Seung Soo Kim

“…Patients underwent BRTO (n = 26) or PARTO (n = 25) according to the preference of the attending interventional radiologist. The primary endpoint was complete obliteration. …”
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Radiologic and surgical peritoneal cancer index in patients with low grade serous ovarian carcinoma by Rachel R. Pacyna, Leah Thomas, Nisa C. Oren, Josephine S. Kim

“…PCI was calculated based on the Sugarbaker method (Harmon & Sugarbaker, 2005). A blinded radiologist calculated CT-PCI scores. Surgical PCI was calculated retrospectively from operative reports. …”
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Mesenteric fat proliferation on magnetic resonance enterography is a predictor of long-term disease complications in crohn’s disease by Eduard Koifman, Inna Spector Cohen, Rebeca Lopez-Alonso, Dana Ben Hur, Anat Ilivitzki, Matti Waterman

“…Methods In this retrospective single-center study, CD patients with available MRE data were followed for CD exacerbation-related hospitalizations or abdominal surgeries. An expert radiologist reviewed MRE for intestinal wall thickening, stricture, abscess formation, fibrofatty proliferation, and fat edema. …”
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Performance of chest X-ray with computer-aided detection powered by deep learning-based artificial intelligence for tuberculosis presumptive identification during case finding in t... by Nichel Marquez, Erwin John Carpio, Mary Rosary Santiago, Jeremiah Calderon, Ruth Orillaza-Chi, Shawnee Shaine Salanap, Lisa Stevens

“…TB presumptive was detected either by CXR or TB signs and symptoms and/or official radiologist readings. The overall diagnostic accuracy of CXR with AI-CAD, stratified by different factors, was assessed using a fixed abnormality threshold and mWRD as the standard reference. …”
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Sonographic Correlations With Histological Grade and Biomarker Profiles in Breast Invasive Ductal Carcinoma by Golnaz Moradi, Nasrin Ahmadinejad, Diana Zarei, Nahid Sadighi

“…Methods and Results A blinded radiologist retrospectively analyzed 109 IDC cases using the American College of Radiology (ACR) Breast Imaging Reporting and Data System (BI‐RADS) classification, evaluating ultrasound features such as lesion shape, margins, orientation, echo pattern, calcifications, vascularity, and lymph node involvement. …”
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Evaluation of General Practitioners\' Diagnostic Accuracy in Interpreting Lung CT Scans of COVID-19 Patients: A Cross-Sectional Study in Sari, 2021 by Mahmood Moosazadeh, Fatemeh Shokoohy, Hadi Majidi, Behnoush Yazdirad, Babak Alitaleshi, Keyvan Heidari, Mobina Gheibi, Erfan Ghadirzadeh

“…Materials and methods: In this cross-sectional study conducted in 2021, using a web-based platform, 77 GPs were presented with 20 lung CT scans, selected by a radiologist to represent varying levels of pulmonary involvement. …”
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Nomogram for predicting cervical lymph node metastasis of papillary thyroid carcinoma using deep learning-based super-resolution ultrasound image by Xia Li, Yu Zhao, Wenhui Chen, Xu Huang, Yan Ding, Shuangyi Cao, Chujun Wang, Chunquan Zhang

“…The DeLong test revealed that the diagnostic performance of Nomogram_A based on SR_SVM was significantly higher than that of Nomogram_B, Nomogram_C, and the level of Radiologist (P < 0.05). The calibration curves and Hosmer–Lemeshow tests confirmed a high degree of fit, and the decision curve analysis demonstrated clinical value and potential patient benefit. …”
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Comparative analysis of AI support levels in clinical interpretation of traumatic pelvic radiographs by Yu-San Tee, Jen-Fu Huang, Yu-Ting Huang, Chi-Po Hsu, Huan-Wu Chen, Chi-Hsun Hsieh, Chih-Yuan Fu, Chi-Tung Cheng, Chien-Hung Liao

“…Trauma surgeons with AI-visual guidance achieved comparable accuracy to unaided radiologists (0.940 vs. 0.920, p = 0.556). Tailored AI assistance effectively bridges the performance gap between radiologists and non-radiologists while reducing reading time. …”
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The utility of orbital imaging in the evaluation of orbital disease. by Min Joung Lee, Rohan Verma, Bronwyn E Hamilton, David Pettersson, Dongseok Choi, Eun Soo Kim, Bobby S Korn, Don O Kikkawa, James T Rosenbaum

“…<h4>Methods</h4>We collected 126 CT scans and 65 MRI scans from 144 subjects and asked two radiologists to interpret the images without clinical information. …”
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Intelligent quality assessment of ultrasound images for fetal nuchal translucency measurement during the first trimester of pregnancy based on deep learning models by Lu Liu, Ting Wang, Wenjing Zhu, Haidong Zhang, Hongyan Tian, Yanping Li, Wenjun Cai, Peng Yang

“…This model exhibited more reliable performance compared to junior radiologists and significantly improved the capabilities of junior radiologists. …”
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Deep learning approach for screening neonatal cerebral lesions on ultrasound in China by Zhouqin Lin, Haoming Zhang, Xingxing Duan, Yan Bai, Jian Wang, Qianhong Liang, Jingran Zhou, Fusui Xie, Zhen Shentu, Ruobing Huang, Yayan Chen, Hongkui Yu, Zongjie Weng, Dong Ni, Lei Liu, Luyao Zhou

“…Furthermore, the system outperforms junior radiologists and performs on par with mid-level radiologists, with 55.11% faster examination efficiency. …”
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Deep learning-based super-resolution US radiomics to differentiate testicular seminoma and non-seminoma: an international multicenter study by Yafang Zhang, Shilin Lu, Chuan Peng, Shichong Zhou, Irene Campo, Michele Bertolotto, Qian Li, Zhiyuan Wang, Dong Xu, Yun Wang, Jinshun Xu, Qinfu Wu, Xiaoying Hu, Wei Zheng, Jianhua Zhou

“…Key Points Clinical parameters and radiologists’ assessments exhibit limited diagnostic accuracy for SE/n-SE differentiation in TGCT. …”
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Improving risk stratification of PI-RADS 3 + 1 lesions of the peripheral zone: expert lexicon of terms, multi-reader performance and contribution of artificial intelligence by Philip A. Glemser, Nils Netzer, Christian H. Ziener, Markus Wilhelm, Thomas Hielscher, Kevin Sun Zhang, Magdalena Görtz, Viktoria Schütz, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, David Bonekamp

“…We aimed to define criteria by expert consensus and test applicability by other radiologists for sPC prediction of PI-RADS 3+1 lesions and determine their value in integrated regression models. …”
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