Image-conditioned latent rectified flow models for 3D medical anomaly localisation [0.03%]
基于图像的潜在修正流模型在三维医学异常定位中的应用
Matthew Baugh,Johanna P Müller,Sarah Cechnicka et al.
Matthew Baugh et al.
Introduction: Reconstruction-based methods offer a promising solution for unsupervised anomaly detection in medical imaging tasks. These methods train generative models on healthy data alone and identify anomalies as devi...
Case Report: Mechanical thrombectomy of cerebral venous sinuses using the NeVa stent retriever [0.03%]
病例报告：使用NeVa取栓器进行脑静脉窦机械性血栓清除术
María Estefanía Peña Giraldo,Andres Hernando Tascon Barona,Ana María Granados Sánchez et al.
María Estefanía Peña Giraldo et al.
Cerebral venous sinus thrombosis (CVST) accounts for less than 1% of cerebrovascular events worldwide and is associated with significant morbidity; in severe or anticoagulation-refractory cases, mechanical thrombectomy is considered, yet no...
First steps in clinical implementation of a lung nodule classification method by artificial intelligence [0.03%]
人工智能肺癌分类方法的临床应用初探
Abderrazzak Ajertil,Zineb Farahat,Abla Bouallou et al.
Abderrazzak Ajertil et al.
Lung cancer remains one of the leading causes of cancer-related mortality worldwide, and early detection is essential to improve patient survival. Computed tomography (CT) is currently the reference imaging modality for lung cancer screenin...
From plug-and-play to institution-calibrated radiology AI: a practical framework for operationalizing local validation, monitoring and governance [0.03%]
从即插即用到机构校准的放射学人工智能：实现本地验证、监控和治理的实用框架
Muhammad Awais,Abdul Rehman
Muhammad Awais
Radiology artificial intelligence (AI) is increasingly developed on large external datasets and deployed across institutions, but real-world model performance may vary substantially after implementation. Imaging AI interacts with a local ec...
Diagnostic value of quantitative MR spectroscopy metabolite ratios for Canavan disease [0.03%]
定量磁共振波谱代谢物比率在Canavan病诊断中的价值分析
Majid Reza Tahsini,Marzena Wylezinska-Arridge,Mohammad Zare et al.
Majid Reza Tahsini et al.
Purpose: Canavan disease (CD) is a leukodystrophy marked by deficiency in the aspartoacylase enzyme and accumulation of N-acetyl aspartate (NAA) in the white matter. MRI and MRS are crucial diagnostic tools for CD. MRS sh...
Case Report: Alternative biopsy targets plus CEUS-guided omental puncture: enabling CLDN18.2 detection and precision therapy enrollment in pancreatic cancer [0.03%]
病例报告：替代活检靶点结合CEUS引导性网膜穿刺：在胰腺癌中实现CLDN18.2检测和精准治疗入组
Hang Yin,Xiaomeng Zhang,Bing Song et al.
Hang Yin et al.
Introduction: Some primary pancreatic cancer lesions are located deep in the abdomen and adjacent to major blood vessels, which leads to procedural risk and low success rates of percutaneous biopsy. This situation creates...
Multimodal assessment of fetal head circumference and biparietal diameter: systematic differences between MRI and US measurements and development of an US-equivalent prediction regression model [0.03%]
胎儿头围和双顶径的多模式评估：MRI和US测量之间的系统差异以及开发US等效预测回归模型
Kai Ye,Kexin Wang,Pengsheng Wu et al.
Kai Ye et al.
Objective: To investigate the differences between fetal magnetic resonance imaging (MRI) and ultrasonography (US) in measuring head circumference (HC) and biparietal diameter (BPD), and to develop and validate a regressio...
Development of a deep learning model for intussusception using point-of-care ultrasound [0.03%]
基于床旁超声构建肠套叠的深度学习模型开发研究
Anand Thyagachandran,Brian Lefchak,Hema A Murthy et al.
Anand Thyagachandran et al.
Objective: Intussusception is a pediatric emergency with delays in diagnosis. We sought to develop a novel deep learning model for the detection of target sign on point-of-care ultrasound (POCUS) images. ...
Case Report: Uremic encephalopathy in acute kidney injury caused by abdominal sepsis [0.03%]
急性腹腔脓毒症所致急性肾损伤并发尿毒症性脑病的病例报告
Sergey Karasev,Rustam Talybov,Tatyana Trofimova et al.
Sergey Karasev et al.
Uremic encephalopathy encompasses a wide range of central nervous system disorders resulting from acute or chronic kidney damage. The pathogenesis of this syndrome is multifactorial and includes the accumulation of uremic toxins, hormonal i...
Potential of Image2Image translation in reducing AI bias attributed to differences in CT reconstruction methods: proof-of-concept study on a paired dataset [0.03%]
基于配对数据的图像到图像翻译在减少由于CT重建方法差异引起的人工智能偏见方面的潜力：概念验证研究
Feifei Li,Liliana Lourenco Caldeira,Astha Jaiswal et al.
Feifei Li et al.
Background: The choice of image reconstruction approach, such as Iterative Model Reconstruction (IMR) and iDose 4 , is critical in computed tomography (CT) as distribution shifts between them can introduce systematic bi...