An Automated Framework and Medical Intelligent System for MRI-Based Alzheimer's Diagnosis Classification [0.03%]
基于MRI的阿尔茨海默病诊断分类的自动化框架和医学智能系统
Ahed Abugabah
Ahed Abugabah
In the era of artificial intelligence (AI), Alzheimer's disease (AD) can be diagnosed through magnetic resonance imaging (MRI) at accurate times and with precision to make effective clinical interventions. Nevertheless, classification is st...
Investigation of Concordance between Artificial Intelligence and Manual Measurements of the Cardiac Parameters in Cardiac Magnetic Resonance Imaging [0.03%]
人工智能与手动测量心脏磁共振成像中心脏参数的一致性研究
Ruiyao Tang,Ziqian Xu,Zengfa Huang et al.
Ruiyao Tang et al.
Background: Commercial artificial intelligence (AI) software for cardiac magnetic resonance (CMR) analysis has shown promising internal validation results, but independent external validation in distinct clinical settings...
Correction: Multiclass Classification of Renal Tumor Subtypes: Addressing Diagnostic Challenges Using a Texture-Informed Deep Hybrid CNN-Transformer [0.03%]
纠正：利用纹理信息的深混合CNN-Transformer进行肾肿瘤亚型的多分类问题：解决诊断挑战
Mohamed T Azam,Hossam Magdy Balaha,Ahmed Aboudessouki et al.
Mohamed T Azam et al.
Published Erratum
Journal of imaging informatics in medicine. 2026 May 20. DOI:10.1007/s10278-026-02016-9 2026
Attention-Based Point Cloud Completion for CT-Equivalent Kidney Volumetry from Tracked Freehand Ultrasound [0.03%]
基于注意力的点云补全用于追踪自由手 ultrasound 的 ct 相当的肾脏体积计算
Sikai Ge,Wuwei Ma,Hao Tang et al.
Sikai Ge et al.
Kidney volume measurement is critical for managing polycystic kidney disease and monitoring transplants, but computed tomography involves radiation and conventional ultrasound has 20-30% error. This study validates tracked freehand ultrasou...
Pronation-Supination Standardization Using a Data-Driven Statistical Pose Model [0.03%]
基于数据驱动的统计姿态模型的手掌内外翻标准化方法
Paul-Emmanuel Edeline,Basile Longo,Aziliz Guezou-Philippe et al.
Paul-Emmanuel Edeline et al.
Image-based clinical measurements of the forearm can be biased when pronation-supination (PS) is not properly accounted for when repositioning during surgery. We therefore aim to build and validate an original data-driven joint statistical ...
Reliability of Multimodal LLMs for Sinusitis with Polyps vs. Sinusitis Without Polyps Classification from Paranasal Sinus CT Slices [0.03%]
多模态LLMs在鼻窦CT切片上区分鼻息肉性鼻窦炎和无息肉性鼻窦炎的可靠性
Buket Yağcı,Sergen Palaz,Rezarta Taga Senirli
Buket Yağcı
The purpose of the study is to compare the diagnostic reliability of commercially available multimodal large language models (LLMs) in distinguishing sinusitis with nasal polyps from sinusitis without polyps in representative paranasal sinu...
A Landmark-Guided Dual-Stream Synergistic Framework for Automated Intracranial Aneurysm Detection in Magnetic Resonance Angiography [0.03%]
基于地标引导的双流协同框架在磁共振血管造影中用于颅内动脉瘤检测
Doyeon Kim,Jieun Park,Hyeonsik Yang et al.
Doyeon Kim et al.
Early and accurate detection of intracranial aneurysms (IAs) is critical for preventing rupture; however, manual interpretation of time-of-flight magnetic resonance angiography (TOF-MRA) scans requires time-intensive review, increasing clin...
A Fluorescence Imaging- and Deep Learning-Based Approach for Detecting Hepatitis B Virus Integration into Host Genomes [0.03%]
一种基于荧光成像和深度学习的乙型肝炎病毒整合位点检测方法
Tzu-Hsien Yang,Wen-Tai Chiu,Yun-Hsuan Chu et al.
Tzu-Hsien Yang et al.
Hepatitis B virus (HBV) infection can lead to hepatocellular carcinoma, and HBV integration into the host genome is regularly observed in the liver of chronic HBV carriers and is speculated to trigger carcinogenesis. To detect HBV integrati...
Comparing the Effectiveness of Artificial Intelligence Technology with 6th Year Dental Students for the Diagnosis of Inflammatory Bone Lesions of the Mandible in Panoramic Radiography [0.03%]
人工智能技术与第六年牙科学生在全景片中下颌骨炎症性病变诊断中的效果比较研究
Sita Songsiriritthigul,Jiratchaya Sriphet,Jirutchaya Suphan et al.
Sita Songsiriritthigul et al.
This study aimed to evaluate the potential role of artificial intelligence (AI) as a diagnostic support tool for inexperienced clinicians by comparing its diagnostic performance and time efficiency with those of sixth-year dental students i...
LADAS: A Localization-Adaptive Dual-Branch Framework for Accurate Delineation of Teeth and Jaw Bone in Axial CBCT Slices [0.03%]
一种适应定位的双分支框架在轴向CBCT图像上精准勾画牙齿和下颌骨区域
Liyan Liu,Hao Guo,Lifeiyan Lai et al.
Liyan Liu et al.
Accurate delineation of teeth and jaw bone in cone-beam computed tomography (CBCT) is essential for digital dental diagnosis, treatment planning, and surgical navigation. However, reliable segmentation remains challenging due to imaging noi...