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iRADIOLOGY
Scopus
ISSN 2834-2879 · Wiley · 188 artikel di indeks
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Artikel Jurnal
A Pilot Study on the Accuracy of Large Language Models (ChatGPT, Google Bard, and Microsoft Copilot) for Selecting the Correct Modality for Musculoskeletal Clinical Cases According to the ACR's Appropriateness Criteria
ABSTRACT Background Large language models (LLMs) are becoming more commonly used in many aspects of radiology. Some authors have previously tested the capacity of various LLMs to suggest the correct imaging modality according to the guidelines of various associations, such as the American College…
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Artikel Jurnal
Relationship Between Blood Pressure Changes and Evolution of White Matter Hyperintensity Volume on Magnetic Resonance Imaging
ABSTRACT Background Hypertension may be a cause of white matter hyperintensity (WMH), but how changes in blood pressure relate to changes in WMH remains unclear. This study aims to clarify the relationship between them. Methods Clinical data were retrospectively collected from 466 patients who…
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Artikel Jurnal
Integrating Nuclear Medicine Services Into Health Care Systems in Low‐ and Middle‐Income Countries: A Review of Challenges and Innovations
ABSTRACT The burden of noncommunicable diseases is increasing rapidly in low‐ and middle‐income countries creating a growing need for advanced diagnostic and therapeutic modalities. Nuclear medicine offers great potential in disease detection, treatment planning, and monitoring, yet its integration…
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Artikel Jurnal
Exploring a Novel Conv‐Transformer Network for Multi‐Modality Heart Segmentation
ABSTRACT Background In recent years, deep convolutional neural networks (CNNs) have achieved great successes in medical imaging. However, it is difficult to obtain accurate pathological information for clinical diagnosis and treatment by leveraging single‐modality medical images. This study aims to…
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Artikel Jurnal
Virtual Magnetic Resonance Elastography Using a Deep Generative Model for Liver Fibrosis Staging
ABSTRACT Background Liver biopsy is invasive, which presents many limitations in clinical settings. Magnetic resonance elastography (MRE) has significant value in non‐invasively diagnosing liver fibrosis. However, its use is currently uncommon because it requires specialized equipment. This study…
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Artikel Jurnal
Transforming Skin Cancer Detection With AI‐Based Convolutional and Transformer Models
ABSTRACT Background Skin cancer is a major cause of mortality, and early detection is vital for effective treatment. Diagnosis is challenging because of lesion variability. This study adapts VINCE‐NET, a hybrid deep‐learning model originally designed for stroke detection, to classify melanoma using…
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Artikel Jurnal
Alignment of Self‐Supervised Learning Representations With Radiomic Features in Multiphase Renal Computed Tomography
ABSTRACT Background Self‐supervised learning (SSL) has emerged as a promising approach in medical image analysis, offering the ability to learn robust feature representations from unlabeled data. However, the extent to which these embeddings align with clinically interpretable features remains…
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Technical Assessment of Preclinical Noninvasive Imaging Methods for Endometriosis Follow‐Up in Murine Models
ABSTRACT Endometriosis is a common benign condition affecting 6%–10% of women, the underlying cause of which remains largely unknown. Laboratory animal models of endometriosis offer a translational approach to advance research into this condition. To this end, the provision of a noninvasive method…
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Artikel Jurnal
Diagnostic Performance of Magnetic Resonance Cholangiopancreatography, Endoscopic Ultrasound, Endoscopic Retrograde Cholangiopancreatography, and Computed Tomography in Biliary Tract Pathologies: A Systematic Review and Comparative Analysis
ABSTRACT Biliary tract disease is challenging to diagnose, as the anatomy is complex and complications arise. Various imaging modalities are available with differential benefits and limitations in detecting choledocholithiasis, strictures, and malignancy. This systematic review aimed to…
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Artikel Jurnal
Imaging the Tumor Microenvironment Beyond Anatomy: Functional, Immune, Stromal, and Metabolic Signatures for Precision Oncology
ABSTRACT The tumor microenvironment (TME) plays an important role in predicting tumor initiation, progression, immune evasion, therapeutic resistance, relapse, and prognosis. However, cycles of oncologic imaging are mostly anatomy‐based, using tumor size and morphology as surrogate variables of the…
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Artikel Jurnal
Compressed Sensing‐Accelerated 3.0 T Noncontrast‐Enhanced CMRA: Diagnostic Efficacy for Coronary Artery Stenosis
ABSTRACT Background Coronary artery disease is a leading cause of cardiovascular death. Conventional noncontrast‐enhanced 3.0 T coronary magnetic resonance angiography (CMRA) is safe but limited by long scan times and motion artifacts. Compressed sensing (CS) can accelerate imaging, yet the optimal…
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Artikel Jurnal
Assessing the Accuracy of Cine Post‐Contrast Cardiac Magnetic Resonance Imaging: Application in Acute Viral Myocarditis
ABSTRACT Background In myocarditis, cardiac magnetic resonance imaging (MRI) provides diagnostic and prognostic insights by assessing the presence of myocarditis lesions on late gadolinium enhancement (LGE) sequences and evaluating left ventricular ejection fraction (LVEF). The balanced…
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Artikel Jurnal
Organoid Imaging: Beyond Depth, Toward Function and Standards
ABSTRACT Despite recent achievements in organoid models that recapitulate key aspects of human development and disease, a deceptively simple question persists: What can be seen when looking inside a living organoid? In most cases, the answer is either a well‐resolved but static structure or a…
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Artikel Jurnal
Assessing ChatGPT‐4o's Potential as a Support Tool in Neuroradiology Cases: A Comparison of Performance by Using Radiologic Images
ABSTRACT Background In clinical settings, particularly in radiology, artificial intelligence and large language models have already demonstrated promising results. They have the potential to become an integral component of radiologists' workflows in the future, and neuroradiology is likely to…