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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 ...
A multi-institutional study to predict the benefits of DEB-TACE and molecular targeted agent sequential therapy in unresectable hepatocellular carcinoma using a radiological-clinical nomogram
A multi-institutional study to predict the benefits of DEB-TACE and molecular targeted agent sequential therapy in unresectable hepatocellular carcinoma using a radiological-clinical nomogram
Exploring the efficacy of a Radiological-Clinical (Rad-Clinical) model in predicting prognosis of unresectable hepatocellu...
Early patello-femoral condropathy assessment through quantitative analyses via T2 mapping magnetic resonance after anterior cruciate ligament reconstruction
Early patello-femoral condropathy assessment through quantitative analyses via T2 mapping magnetic resonance after anterior cruciate ligament reconstruction
Patellar femoral chondropathy (FPC) is a common problem in patients undergoing anterior cruciate ligament reconstruction (...
Radiomics and artificial intelligence analysis by T2-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging to predict Breast Cancer Histological Outcome
Radiomics and artificial intelligence analysis by T2-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging to predict Breast Cancer Histological Outcome
The objective of the study was to evaluate the accuracy of radiomics features obtained by MR images to predict Breast Canc...
A multitask deep learning radiomics model for predicting the macrotrabecular-massive subtype and prognosis of hepatocellular carcinoma after hepatic arterial infusion chemotherapy
A multitask deep learning radiomics model for predicting the macrotrabecular-massive subtype and prognosis of hepatocellular carcinoma after hepatic arterial infusion chemotherapy
The macrotrabecular-massive (MTM) is a special subtype of hepatocellular carcinoma (HCC), which has commonly a dismal prog...
Correction: Pelvic ring fractures with concomitant large hematomas: diagnostic investigation with arteriography and eventual embolization in 157 trauma patients, with or without contrast extravasation at emergency CT
Correction: Pelvic ring fractures with concomitant large hematomas: diagnostic investigation with arteriography and eventual embolization in 157 trauma patients, with or without contrast extravasation at emergency CT
Vascular and Interventional Radiology Department, Cardarelli Hospital, Via Antonio Cardarelli 9, Naples, 80131, ItalyFranc...
Evaluation of a newly designed deep learning-based algorithm for automated assessment of scapholunate distance in wrist radiography as a surrogate parameter for scapholunate ligament rupture and the correlation with arthroscopy
Evaluation of a newly designed deep learning-based algorithm for automated assessment of scapholunate distance in wrist radiography as a surrogate parameter for scapholunate ligament rupture and the correlation with arthroscopy
Not diagnosed or mistreated scapholunate ligament (SL) tears represent a frequent cause of degenerative wrist arthritis. A...
Computed Tomography-derived intratumoral and peritumoral radiomics in predicting EGFR mutation in lung adenocarcinoma
Computed Tomography-derived intratumoral and peritumoral radiomics in predicting EGFR mutation in lung adenocarcinoma
To investigate the value of Computed Tomography (CT) radiomics derived from different peritumoral volumes of interest (VOI...
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