Textual Proficiency and Visual Deficiency: A Comparative Study of Large Language Models and Radiologists in MRI Artifact Detection and Correction [0.03%]
文字优势与视觉劣势：大型语言模型与放射科医师在MRI伪影检测与修正方面的比较研究
Yasin Celal Gunes,Turay Cesur,Eren Camur et al.
Yasin Celal Gunes et al.
Rationale and objectives: To assess the performance of Large Language Models (LLMs) in detecting and correcting MRI artifacts compared to radiologists using text-based and visual questions. ...
Generative AI as Both Threat to and Tool for Maintaining Radiology Research Propriety [0.03%]
生成式AI既是维护放射学研究专有性的威胁也是工具
Jeffrey P Guenette
Jeffrey P Guenette
Outcomes of CT-Guided Percutaneous Transthoracic Needle Biopsy of Cavitary Pulmonary Nodules [0.03%]
经皮肺空洞型病灶穿刺活检的临床疗效分析
Andrew Ragheb,Sayf Al-Katib,Monisha Shetty et al.
Andrew Ragheb et al.
Rationale and objectives: Current literature on the outcomes of CT-guided percutaneous transthoracic needle biopsy (PTNB) of cavitary pulmonary nodules is limited by small sample sizes. The purpose of our study was to eva...
Association Between Aortic Imaging Features and Impaired Glucose Metabolism: A Deep Learning Population Phenotyping Approach [0.03%]
主动脉影像标志与糖代谢异常联系的研究：一种深度学习表型分析方法
Alexander Rau,Lea Michel,Marco Reisert et al.
Alexander Rau et al.
Rationale and objectives: Type 2 diabetes is a known risk factor for vascular disease with an impact on the aorta. The aim of this study was to develop a deep learning framework for quantification of aortic phenotypes fro...
Prediction of High-risk Capsule Characteristics for Recurrence of Pleomorphic Adenoma in the Parotid Gland Based on Habitat Imaging and Peritumoral Radiomics: A Two-center Study [0.03%]
基于栖息地影像和肿瘤周圍区域放射组学的腮腺多形性腺瘤复发高危囊性特征预测：一项两中心研究
Yi Wang,An Dai,Yue Wen et al.
Yi Wang et al.
Rationale and objectives: This study aims to develop and validate an ultrasoundbased habitat imaging and peritumoral radiomics model for predicting high-risk capsule characteristics for recurrence of pleomorphic adenoma (...
Machine Learning Methods Based on Chest CT for Predicting the Risk of COVID-19-Associated Pulmonary Aspergillosis [0.03%]
基于胸部CT的机器学习方法在预测COVID-19相关性肺曲霉病风险中的应用
Jiahao Liu,Juntao Zhang,Huaizhen Wang et al.
Jiahao Liu et al.
Rationale and objectives: To develop and validate a machine learning model based on chest CT and clinical risk factors to predict secondary aspergillus infection in hospitalized COVID-19 patients. ...
AI Workflow Integration and Pneumothorax Detection-A Blueprint for Sustainable Implementation? [0.03%]
人工智能工作流集成与气胸检测-可持续实施的蓝图？
Lukas Müller,Daniel Pinto Dos Santos
Lukas Müller
Photon-counting CT Spectral Localizer Radiographs for Lumbar Areal Bone Mineral Density Quantification: A Clinical Study on Accuracy, Reliability, and Diagnostic Performance for Osteoporosis [0.03%]
基于光子计数CT谱局部化的腰椎骨矿物质密度定量检测：准确度，可靠性和诊断骨质疏松症的性能临床研究
Shanshui Zhou,Shutian Zhao,Rui Chang et al.
Shanshui Zhou et al.
Rationale and objectives: To explore the accuracy, reliability, and diagnostic performance of photon-counting CT (PCCT) spectral localizer radiographs (SLRs) for quantifying lumbar areal bone mineral density (BMD) and det...
Hourly Variations in Glymphatic Function Based on MRI Scan Times in Cognitively Normal Individuals [0.03%]
基于磁共振扫描时间的轻脉络系统功能正常认知个体中的 hourly variation
Ji Su Ko,Yangsean Choi,Eunseon Jeong et al.
Ji Su Ko et al.
Rationale and objectives: This study evaluated glymphatic function changes according to MRI scan time over a 24-hour cycle, using diffusion tensor image analysis along the perivascular space (DTI-ALPS) to assess interstit...
ChatGPT-4o's Performance in Brain Tumor Diagnosis and MRI Findings: A Comparative Analysis with Radiologists [0.03%]
ChatGPT-4o在脑肿瘤诊断和MRI发现中的表现与放射科医生的比较分析
Cemre Ozenbas,Duygu Engin,Tayfun Altinok et al.
Cemre Ozenbas et al.
Rationale and objectives: To evaluate the accuracy of ChatGPT-4o in identifying magnetic resonance imaging (MRI) findings and diagnosing brain tumors by comparing its performance with that of experienced radiologists. ...