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Economic evaluations of AI applications in radiology: a systematic review
Economic evaluations of AI applications in radiology: a systematic review
Artificial intelligence (AI) applications in radiology may improve clinical outcomes, but adoption is hindered by limited ...
Hallucination filtering in radiology vision-language models using discrete semantic entropy
Hallucination filtering in radiology vision-language models using discrete semantic entropy
To determine whether using discrete semantic entropy (DSE) to reject questions likely to generate hallucinations can impro...
AI decision support for increasing prostate biopsy efficiency: a retrospective multicentre, multiscanner study
AI decision support for increasing prostate biopsy efficiency: a retrospective multicentre, multiscanner study
To develop and retrospectively validate an artificial intelligence-based decision support system (AI-DSS) for optimising p...
Features of B-mode ultrasound and contrast-enhanced ultrasound of carotid plaque based on deep learning enhance the prediction of vulnerable plaques associated with acute ischemic stroke
Features of B-mode ultrasound and contrast-enhanced ultrasound of carotid plaque based on deep learning enhance the prediction of vulnerable plaques associated with acute ischemic stroke
To develop an AI model using ultrasound features of carotid plaque for predicting the risk of acute ischemic stroke (AIS) ...
Competitive blood flow from the contralateral vertebral artery signifies a favorable outcome after successful recanalization for acute posterior circulation ischemic stroke
Competitive blood flow from the contralateral vertebral artery signifies a favorable outcome after successful recanalization for acute posterior circulation ischemic stroke
Early prognosis prediction is challenging after endovascular treatment (EVT) for acute posterior circulation ischemic stro...
Performance of AI vs radiology residents in the detection of intracranial hemorrhage on emergency CT: a real-world analysis
Performance of AI vs radiology residents in the detection of intracranial hemorrhage on emergency CT: a real-world analysis
To evaluate the performance of a commercial artificial intelligence (AI) software in detecting intracranial hemorrhage (IC...
Reproducibility of cardiac volumetric parameters derived from fully automatically prescribed image planes: a direct comparison to manual planning at 1.5-T and 3-T MRI
Reproducibility of cardiac volumetric parameters derived from fully automatically prescribed image planes: a direct comparison to manual planning at 1.5-T and 3-T MRI
The prescription of cardiac MRI (CMR) image planes is essential for comparable volumetric assessment, but manual planning ...
Abdominal screening with ultrasound in children with suspected acute appendicitis
Abdominal screening with ultrasound in children with suspected acute appendicitis
Ultrasound (US) is the first-line modality for the assessment of acute appendicitis (AA) in children. Because alternative ...
Large language model and Gd-EOB-DTPA-enhanced MRI-based risk stratification system for postoperative hepatocellular carcinoma: a multicenter study
Large language model and Gd-EOB-DTPA-enhanced MRI-based risk stratification system for postoperative hepatocellular carcinoma: a multicenter study
To develop and validate a Fully Automated Stratification System (FASS) integrating serum biomarkers, automated radiomic fe...
Exploring the prevalence and clinical impact of carotid plaque burden by Doppler ultrasound in lung cancer screening participants with limited coronary artery calcification
Exploring the prevalence and clinical impact of carotid plaque burden by Doppler ultrasound in lung cancer screening participants with limited coronary artery calcification
This study aimed to evaluate the frequency of carotid plaques detected by carotid Doppler ultrasound (CDU) and their poten...
Contrast-enhanced mammography versus breast MRI in the preoperative evaluation of the nipple-areola complex: data from a real-world setting
Contrast-enhanced mammography versus breast MRI in the preoperative evaluation of the nipple-areola complex: data from a real-world setting
Accurate preoperative assessment of nipple-areolar complex (NAC) involvement is critical for surgical planning in breast c...
Diagnostic accuracy of deep learning vs. human raters for detecting osteoporotic vertebral compression fractures in routine CT scans
Diagnostic accuracy of deep learning vs. human raters for detecting osteoporotic vertebral compression fractures in routine CT scans
Vertebral fractures are severe complications of osteoporosis but are frequently missed on computed tomography (CT). Differ...
Differentiating combined hepatocellular-cholangiocarcinoma from mass-forming intrahepatic cholangiocarcinoma with MRI and tumor markers: a multi-center study
Differentiating combined hepatocellular-cholangiocarcinoma from mass-forming intrahepatic cholangiocarcinoma with MRI and tumor markers: a multi-center study
To establish a diagnostic regimen based on gadoxetate acid disodium (Gd-EOB-DTPA) enhanced magnetic resonance imaging (MRI...
Extranodal extension on MRI after neoadjuvant chemoradiotherapy improves the prognostic contribution of nodal evaluation in rectal cancer
Extranodal extension on MRI after neoadjuvant chemoradiotherapy improves the prognostic contribution of nodal evaluation in rectal cancer
Evaluation of extranodal extension (ENE) after neoadjuvant chemoradiotherapy (nCRT) might improve the currently suboptimal...
Clinical value of the 70-kVp ultra-low-dose CT pulmonary angiography with deep learning image reconstruction
Clinical value of the 70-kVp ultra-low-dose CT pulmonary angiography with deep learning image reconstruction
This study aims to assess the feasibility of “double-low,” low radiation dosage and low contrast media dosage,...
Cost-effective integration of dynamic myocardial CT perfusion in the assessment of symptomatic coronary artery disease
Cost-effective integration of dynamic myocardial CT perfusion in the assessment of symptomatic coronary artery disease
Coronary computed tomography angiography (CCTA) is highly effective for detecting coronary artery disease (CAD) but cannot...
Diagnostic value of transcranial ultrasonography and clinical features for Parkinson’s disease based on XGBoost model and SHAP visualization analysis: a retrospective study
Diagnostic value of transcranial ultrasonography and clinical features for Parkinson’s disease based on XGBoost model and SHAP visualization analysis: a retrospective study
Parkinson’s disease (PD) requires early diagnosis for optimal management. This study aims to evaluate whether combin...
Reduction of radiation exposure and preserved image quality using photon-counting detector cardiac computed tomography without electrocardiographic gating in children with congenital heart disease
Reduction of radiation exposure and preserved image quality using photon-counting detector cardiac computed tomography without electrocardiographic gating in children with congenital heart disease
To evaluate the radiation exposure, quantitative, and qualitative image quality in pediatric cardiac CT by using photon-co...
External validation of an artificial intelligence tool for fracture detection in children with osteogenesis imperfecta: a multireader study
External validation of an artificial intelligence tool for fracture detection in children with osteogenesis imperfecta: a multireader study
To determine the performance of a commercially available AI tool for fracture detection when used in children with osteoge...
Revisiting prognosis of oligodendroglioma patients in the 2021 WHO classification: incremental value of imaging features
Revisiting prognosis of oligodendroglioma patients in the 2021 WHO classification: incremental value of imaging features
To investigate whether imaging factors can improve the prediction of progression-free survival (PFS) in patients with olig...
Evolution of CT perfusion software in stroke imaging: from deconvolution to artificial intelligence
Evolution of CT perfusion software in stroke imaging: from deconvolution to artificial intelligence
Computed tomography perfusion (CTP) represents one of the main determinants in the decision-making strategy of stroke pati...
Ultrasound assessment of larynx and trachea in the neonatal period—reference values
Ultrasound assessment of larynx and trachea in the neonatal period—reference values
Ultrasonography is an accessible diagnostic tool that allows noninvasive examination of the larynx and trachea, thereby mi...
The T1 mapping and T2 mapping of lateral pterygoid muscle: a quantitative analysis in patients with acute and chronic temporomandibular joint disorders
The T1 mapping and T2 mapping of lateral pterygoid muscle: a quantitative analysis in patients with acute and chronic temporomandibular joint disorders
The study aimed to quantitatively assess the signal changes in the lateral pterygoid muscle (LPM) of patients with acute a...
Upper thoracic T1 and T2 percutaneous vertebroplasty: a review of 10 years of experience
Upper thoracic T1 and T2 percutaneous vertebroplasty: a review of 10 years of experience
T1 and T2 upper thoracic vertebroplasties (UTVs) represent a technical challenge due to various anatomical factors that im...
Of editorial processes, AI models, and medical literature: the Magnetic Resonance Audiometry experiment
Of editorial processes, AI models, and medical literature: the Magnetic Resonance Audiometry experiment
The potential of artificial intelligence (AI) in the field of medical research is unquestionable. Nevertheless, the scient...
Cine-cardiac magnetic resonance to distinguish between ischemic and non-ischemic cardiomyopathies: a machine learning approach
Cine-cardiac magnetic resonance to distinguish between ischemic and non-ischemic cardiomyopathies: a machine learning approach
This work aimed to derive a machine learning (ML) model for the differentiation between ischemic cardiomyopathy (ICM) and ...
A novel radiomics nomogram based on T2-sampling perfection with application-optimized contrasts using different flip-angle evolutions (SPACE) images for predicting cochlear and vestibular endolymphatic hydrops in Meniere’s disease patients
A novel radiomics nomogram based on T2-sampling perfection with application-optimized contrasts using different flip-angle evolutions (SPACE) images for predicting cochlear and vestibular endolymphatic hydrops in Meniere’s disease patients
To construct and validate a radiomics nomogram based on T2-sampling perfection with application-optimized contrasts using ...
Safety of non-ionic contrast media in CT examinations for out-patients: retrospective multicenter analysis of 473,482 patients
Safety of non-ionic contrast media in CT examinations for out-patients: retrospective multicenter analysis of 473,482 patients
This study aimed to explore the incidence of and potential risk factors for adverse drug reactions (ADRs) after non-ionic ...
The connection between cerebral amyloid angiopathy and Alzheimer’s disease
The connection between cerebral amyloid angiopathy and Alzheimer’s disease
Guarantor The scientific guarantor of this publication is Prof. Han...
Soft tissue tumor imaging in adults: European Society of Musculoskeletal Radiology-Guidelines 2023—overview, and primary local imaging: how and where?
Soft tissue tumor imaging in adults: European Society of Musculoskeletal Radiology-Guidelines 2023—overview, and primary local imaging: how and where?
Early, accurate diagnosis is crucial for the prognosis of patients with soft tissue sarcomas. To this end, standardization...
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