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Digital Diagnostics
Scopus
ISSN 2712-8490 · Eco-Vector · 358 articles in the index
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Journal Article
Bone mineral density in hemodialysis: a cross-sectional study of dual-energy X-ray absorptiometry and the limitations of FRAX
BACKGROUND: In patients with stage 5 chronic kidney disease receiving maintenance hemodialysis, the assessment of bone mineral density is of special clinical importance due to the high prevalence of mineral and bone disorders and low-energy fractures. However, interpreting dual-energy X-ray…
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Journal Article
Diagnostic performance of magnetic resonance spectroscopy in assessing metabolic profile for differentiating benign and malignant liver tumors: a review
Magnetic resonance spectroscopy is a noninvasive method that enables analysis of the metabolic profile of liver tissue and the identification of biochemical indicators of malignant transformation. In this review we summarize current research data on the use of magnetic resonance spectroscopy in the…
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Journal Article
Systemic air embolism after transthoracic biopsy of a lung tumour: a case report
Air embolism is considered a rare but potentially fatal complication of invasive thoracic surgery. Computed tomography-guided thoracic biopsy is widely employed in clinical practice as a highly effective and relatively safe method for the morphological profiling of lung tumors. However, some…
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Journal Article
Towards new quantitative electrooculographic biomarkers of Parkinson's disease and essential tremor: a short communication
BACKGROUND: Developing highly sensitive diagnostic methods for common extrapyramidal disorders such as Parkinson's disease and essential tremor is a pressing research challenge. Despite the rapid development of various diagnostic methods, including functional radioisotope neuroimaging, differential…
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Journal Article
Application of radiomics for the differential diagnosis of minimal-fat angiomyolipomas and other renal tumors: a review
Over the past decades, detection rate of renal tumors has increased. However, some of them, especially at the T1a stage, might be benign. Radiology methods are often unable to reliably determine a tumor's nature, so histological verification remains the gold standard. The use of noninvasive methods…
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Journal Article
Selection of the optimal configuration of electroencephalographic electrodes for identifying cognitive load in healthy adults: a cross-sectional study
BACKGROUND: Cognitive load monitoring plays a key role in personalized neurorehabilitation and evaluation of educational program effectiveness. However, existing electroencephalographic systems with a large number of electrodes are technically complex and unsuitable for everyday use. Insufficient…
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Journal Article
Clinical utility of artificial intelligence for the detection of peripheral pulmonary nodules, aortic and pulmonary dilation, coronary artery calcification on chest CT: a cross-sectional study
BACKGROUND: In the era of low-dose computed tomography replacing chest radiography, attention is increasingly directed not only to lung pathology but also to other organ systems. Early detection of cardiovascular changes and prompt treatment response minimize damage to patient health, potentially…
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Journal Article
Neural network analysis of histological images of non-neoplastic liver lesions: a review
This review is devoted to the application of neural network models for the analysis of histological images in non-neoplastic liver diseases, with a focus on the technical aspects of model development and training. The relevance of this work is due to the growing interest in applying neural networks…
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Journal Article
Texture analysis of magnetic resonance imaging in prediction of muscle invasive bladder cancer: a cross-sectional study
BACKGROUND: Bladder cancer is the most common malignant neoplasm of the urinary system. The mean age at diagnosis is 73 years, which suggests high risks of comorbidity and clinical risks during invasive diagnostic procedures. Tumor invasion into musculature is a key factor governing treatment…
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Journal Article
Evaluation of an artificial intelligence model for quality assessment of chest radiograph in public healthcare settings: a pilot cross-sectional study
BACKGROUND: Suboptimal quality of chest radiographs is a common problem in the diagnostic imaging of thoracic diseases. Quality assessment of routine chest radiographs is performed manually, which is complicated by remote reporting and the high workload of radiologists. We previously developed an…
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Journal Article
Differential diagnosis of benign and malignant serous ovarian lesions using radiomics analysis of magnetic resonance imaging (T2WI and T1WI) by machine learning: a retrospective cross-sectional study
BACKGROUND: Differential diagnosis of ovarian tumors using common imaging and risk stratification methods has certain limitations, complicating the selection of optimal treatment strategies. However, the accuracy of diagnosing malignant tumors can be improved using machine learning methods and…
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Journal Article
Development and testing of an anthropomorphic aluminum phantom for digital chest radiography: a technical report
BACKGROUND: The regulated quality control procedure for radiography involves the analysis of test objects without simulating anatomical features. However, subsequent assessment of radiologists’ performance or artificial intelligence-based decision support systems requires anonymized data samples…
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Journal Article
Artificial intelligence in ultrasound diagnosis of fetal congenital malformations: a review
Timely detection of congenital malformations of the fetus remains one of the urgent problems of modern prenatal diagnostics. The survival rate of children, the volume and quality of medical care during treatment and rehabilitation directly depend on early and reliable diagnosis. In modern medicine…
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Journal Article
Native computed tomography in the diagnosis of post-traumatic sciatic neuropathy: a case report
Diagnosis of post-traumatic peripheral neuropathy relies on a combination of methods, including clinical examination, electroneuromyography, ultrasound, and magnetic resonance imaging. However, ultrasound is operator-dependent, and magnetic resonance imaging is often unavailable or contraindicated…
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Journal Article
Machine learning methods for recognizing surgical site infection in trauma and orthopedic patients: a cross-sectional study
BACKGROUND: Surgical site infections are common postoperative complications that often develop after hospital discharge. Timely diagnosis and optimal treatment choice are crucial for clinical success and cost-effectiveness in surgical site infection treatment. Computer vision and artificial…
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Journal Article
The role of myocardial strain assessment using cardiac magnetic resonance imaging in patients with non-compacted left ventricular myocardium: determination of subclinical contractility disorder
BACKGROUND: Non-compacted left ventricular myocardium is a phenotypic variant of the myocardium structure with increased trabecularity and the formation of two distinct layers: compacted and non-compacted. It is known that patients with non-compacted left ventricular myocardium gradually develop…
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Journal Article
Diagnostic accuracy of 100 radiologists in detecting pulmonary nodules: a short communication
BACKGROUND: Chest X-ray is a widely used and accessible screening method for lung pathology. However, its diagnostic capabilities, particularly for visualizing pulmonary nodules, are limited. Suboptimal detection of pulmonary nodules by radiologists on chest X-rays affects the timeliness of…
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Journal Article
Beyond skin deep: unraveling breast neurofibromatosis (a case report)
Neurofibromatosis type 1 is an autosomal dominant disorder characterized by the development of benign and, occasionally, malignant peripheral nerve sheath tumors. Although cutaneous manifestations are well described, breast involvement is rare and may mimic other benign or malignant breast lesions…
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Journal Article
Head and neck computed tomography dataset with lymph node assessment according to the Node-RADS classification
BACKGROUND: Diagnosis of head and neck malignancies and prediction of lymph node metastases are essential for determining the appropriate treatment strategy. Artificial intelligence-based systems for automated lymph node analysis have been developed for this purpose. The predictive accuracy of such…
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Journal Article
Fatal lupus flare presented as syndrome of inappropriate antidiuretic hormone secretion and hemorrhagic gastroenteritis: a case report
Systemic lupus erythematosus is a multisystem autoimmune disease. The disease may have various manifestations and sometimes can be challenging to diagnose because of multiple clinical symptoms and their combinations. At the same time, early diagnosis may be crucial for patient survival. We report…