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Examining the landscape of proctoring in upholding academic integrity: a bibliometric review of online examination practices
Examining the landscape of proctoring in upholding academic integrity: a bibliometric review of online examination practices
The field of online education has increasingly recognized digitally automated proctoring as a prominent and pressing issue...
61 EASD Annual Meeting of the European Association for the Study of Diabetes
61 EASD Annual Meeting of the European Association for the Study of Diabetes
LBA 92 Negative impact of HLA haplotype DR4DQ8 is stronger than DR3DQ2 in LADA patients: results from a Norwegian and Sw...
Abstracts of the ICARE 2025 79th SIAARTI National Congress
Abstracts of the ICARE 2025 79th SIAARTI National Congress
A86 Implementation of targeted diagnostic algorithms enhances early management of bloodstream infections in critically ill...
World Congress on Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (WCO-IOF-ESCEO 2024)
World Congress on Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (WCO-IOF-ESCEO 2024)
1. Akhverdyan Y, et al. Annal Rheum Dis 2017;76:1149 ...
Fratture vertebrali da osteoporosi: diagnosi differenziale
Fratture vertebrali da osteoporosi: diagnosi differenziale
Conflitto di interesse Gli autori Daniele Diacinti e Davide...
Terapia del fattore maschile di infertilità
Terapia del fattore maschile di infertilità
La diagnosi di infertilità richiede un approccio multidisciplinare che includa entrambi i partner, al fine di individ...
The use of machine learning in transarterial chemoembolisation/transarterial embolisation for patients with intermediate-stage hepatocellular carcinoma: a systematic review
The use of machine learning in transarterial chemoembolisation/transarterial embolisation for patients with intermediate-stage hepatocellular carcinoma: a systematic review
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related deaths worldwide. Intermediate-stage HCC is ...
Residual networks models detection of atrial septal defect from chest radiographs
Residual networks models detection of atrial septal defect from chest radiographs
The purpose of this study was to explore a machine learning-based residual networks (ResNets) model to detect atrial septa...
The role of an artificial intelligence software in clinical senology: a mammography multi-reader study
The role of an artificial intelligence software in clinical senology: a mammography multi-reader study
To evaluate the diagnostic role of a dedicated AI software in detecting anomalous breast findings on mammography and tomos...
Reply to comment to “axillary lymph nodes enlargement after Sars-CoV-2 vaccine in patients undergoing breast examination: a single-centre experience in 285 women”
Reply to comment to “axillary lymph nodes enlargement after Sars-CoV-2 vaccine in patients undergoing breast examination: a single-centre experience in 285 women”
Conflict of interests The authors have not disclosed any co...
22nd European Congress of Trauma and Emergency Surgery
22nd European Congress of Trauma and Emergency Surgery
Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a sh...
Radiomics from dual-energy CT-derived iodine maps predict lymph node metastasis in head and neck squamous cell carcinoma
Radiomics from dual-energy CT-derived iodine maps predict lymph node metastasis in head and neck squamous cell carcinoma
To develop and validate an iodine maps-based radiomics nomogram for preoperatively predicting cervical lymph node metastas...
Highly accelerated, Dixon-based non-contrast MR angiography versus high-pitch CT angiography
Highly accelerated, Dixon-based non-contrast MR angiography versus high-pitch CT angiography
To compare a novel, non-contrast, flow-independent, 3D isotropic magnetic resonance angiography (MRA) sequence that combin...
CT enterography-based radiomics combined with body composition to predict infliximab treatment failure in Crohn’s disease
CT enterography-based radiomics combined with body composition to predict infliximab treatment failure in Crohn’s disease
Accurately predicting the treatment response in patients with Crohn’s disease (CD) receiving infliximab therapy is c...
ESR paper on structured reporting in radiology—update 2023
ESR paper on structured reporting in radiology—update 2023
Structured reporting in radiology continues to hold substantial potential to improve the quality of service provided to pa...
Axillary lymph nodes enlargement after Sars-CoV-2 vaccine in patients undergoing breast examination: comment
Axillary lymph nodes enlargement after Sars-CoV-2 vaccine in patients undergoing breast examination: comment
Authors and AffiliationsPrivate Academic Consultant, Samraong, CambodiaAmnuay KleebayoonChandigarh University, Mohali, Ind...
Combined model integrating deep learning, radiomics, and clinical data to classify lung nodules at chest CT
Combined model integrating deep learning, radiomics, and clinical data to classify lung nodules at chest CT
The study aimed to develop a combined model that integrates deep learning (DL), radiomics, and clinical data to classify l...
Applications of Computational Intelligence
Applications of Computational Intelligence
6th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2023, held in Bogota, Colombia during...
Active Inference
Active Inference
The conference proceeding IWAI 2023 cover a wide range of domains that find applications of active inference, ranging from...
Utilizing grayscale ultrasound-based radiomics nomogram for preoperative identification of triple negative breast cancer
Utilizing grayscale ultrasound-based radiomics nomogram for preoperative identification of triple negative breast cancer
This study aimed to develop a radiomics nomogram based on grayscale ultrasound (US) to distinguish triple-negative breast ...
Optimising of axillary therapy in breast cancer: lessons from the past to plan for a better future
Optimising of axillary therapy in breast cancer: lessons from the past to plan for a better future
In this narrative review, we aim to explore the ability of radiation therapy to eradicate breast cancer regional node meta...
Anticipations for advancement of non-contrast MRI sequences suitable for longitudinal studies of rheumatoid arthritis
Anticipations for advancement of non-contrast MRI sequences suitable for longitudinal studies of rheumatoid arthritis
Ma W, Cai J, Zhang W, Suo S, Zu J, Yao Q, Wei J, Lu Q (2023) Diagnostic performance of double inversion recovery MRI seque...
Clinical trials for evidence-based radiology: to randomize or not to randomize? This is the question
Clinical trials for evidence-based radiology: to randomize or not to randomize? This is the question
The goal of every physician is to optimize patient outcome through accurate decision-making. Over the last thirty years, e...
Extra-axial cranial nerve enhancement: a pattern-based approach
Extra-axial cranial nerve enhancement: a pattern-based approach
Cranial nerve enhancement is a common and challenging MRI finding that requires a meticulous and systematic evaluation to ...
A new comprehensive MRI classification and grading system for lumbosacral central and lateral stenosis: clinical application and comparison with previous systems
A new comprehensive MRI classification and grading system for lumbosacral central and lateral stenosis: clinical application and comparison with previous systems
The purpose of our study was to provide a novel schematized and comprehensive classification of causes and severity gradin...
Atypical ductal hyperplasia on vacuum-assisted breast biopsy: a scoring system to predict the risk of upgrade to malignancy
Atypical ductal hyperplasia on vacuum-assisted breast biopsy: a scoring system to predict the risk of upgrade to malignancy
Our multicentric study analysed clinical, radiologic and pathologic features in patients with atypical ductal hyperplasia ...
Artificial intelligence applied in acute ischemic stroke: from child to elderly
Artificial intelligence applied in acute ischemic stroke: from child to elderly
This review will summarize artificial intelligence developments in acute ischemic stroke in recent years and forecasts for...
XLVI Mexican Conference on Biomedical Engineering
XLVI Mexican Conference on Biomedical Engineering
This first volume of the proceedings of CNIB 2023 report on artificial intelligence applications for biomedical analysis, ...
Radiomics nomogram for predicting axillary lymph node metastasis—a potential method to address the limitation of axilla coverage in cone-beam breast CT: a bi-center retrospective study
Radiomics nomogram for predicting axillary lymph node metastasis—a potential method to address the limitation of axilla coverage in cone-beam breast CT: a bi-center retrospective study
Cone-beam breast CT (CBBCT) has an inherent limitation that the axilla cannot be imaged in its entirety. We aimed to devel...
Dual-energy CT improves differentiation of non-hypervascular pancreatic neuroendocrine neoplasms from CA 19-9-negative pancreatic ductal adenocarcinomas
Dual-energy CT improves differentiation of non-hypervascular pancreatic neuroendocrine neoplasms from CA 19-9-negative pancreatic ductal adenocarcinomas
To evaluate the utility of dual-energy CT (DECT) in differentiating non-hypervascular pancreatic neuroendocrine neoplasms ...
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