AIMC Topic: Observer Variation

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A deep learning algorithm for automated adrenal gland segmentation on non-contrast CT images.

BMC medical imaging May 1, 2025
BACKGROUND: The adrenal glands are small retroperitoneal organs, few reference standards exist for adrenal CT measurements in clinical practice. This study aims to develop a deep learning (DL) model for automated adrenal gland segmentation on non-con...
Adolescent Radiographic Image Interpretation, Computer-Assisted Observer Variation Adrenal Glands Young Adult Adult Male Middle Aged Deep Learning Female Aged Aged, 80 and over Humans Algorithms Tomography, X-Ray Computed
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Deep learning based automated left atrial segmentation and flow quantification of real time phase contrast MRI in patients with atrial fibrillation.

The international journal of cardiovascular imaging Apr 29, 2025
Real time 2D phase contrast (RTPC) MRI is useful for flow quantification in atrial fibrillation (AF) patients, but data analysis requires time-consuming anatomical contouring for many cardiac time frames. Our goal was to develop a convolutional neura...
Humans Female Time Factors Magnetic Resonance Imaging Predictive Value of Tests Atrial Fibrillation Heart Atria Heart Rate Reproducibility of Results Aged Male Middle Aged Deep Learning Magnetic Resonance Imaging, Cine Image Interpretation, Computer-Assisted Observer Variation Automation Blood Flow Velocity Atrial Function, Left
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Artificial intelligence-assisted left ventricular global longitudinal strain assessment in patients with acute myocardial infarction: a RESUS-AMI trial sub-analysis.

The international journal of cardiovascular imaging Apr 29, 2025
PURPOSE: The aim of this sub-analysis of the RESUS-AMI trial was to evaluate the correlation of artificial intelligence (AI)-assisted echocardiographic global longitudinal strain (GLS) assessments with infarct size, left ventricular ejection fraction...
Observer Variation Magnetic Resonance Imaging, Cine Myocardial Contraction Global Longitudinal Strain Aged Male Ventricular Function, Left Stroke Volume Echocardiography ST Elevation Myocardial Infarction Percutaneous Coronary Intervention Image Interpretation, Computer-Assisted Middle Aged Treatment Outcome Predictive Value of Tests Humans Artificial Intelligence Female Reproducibility of Results
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Fast and automatic coronary artery segmentation using nnU-Net for non-contrast enhanced magnetic resonance coronary angiography.

The international journal of cardiovascular imaging Apr 26, 2025
Non-contrast enhanced magnetic resonance coronary angiography (MRCA) is a promising coronary heart disease screening modality. However, its clinical application is hindered by inherent limitations, including low spatial resolution and insufficient co...
Image Interpretation, Computer-Assisted Deep Learning Female Observer Variation Time Factors Coronary Vessels Humans Reproducibility of Results Automation Predictive Value of Tests Aged Magnetic Resonance Angiography Coronary Angiography Male Computed Tomography Angiography Coronary Artery Disease Middle Aged
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Deep Learning-Driven Abbreviated Shoulder MRI Protocols: Diagnostic Accuracy in Clinical Practice.

Tomography (Ann Arbor, Mich.) Apr 17, 2025
BACKGROUND: Deep learning (DL) reconstruction techniques have shown promise in reducing MRI acquisition times while maintaining image quality. However, the impact of different acceleration factors on diagnostic accuracy in shoulder MRI remains unexpl...
Male Middle Aged Deep Learning Magnetic Resonance Imaging Rotator Cuff Injuries Image Interpretation, Computer-Assisted Observer Variation Shoulder Edema Shoulder Joint Female Reproducibility of Results Aged Adult Sensitivity and Specificity Humans Prospective Studies
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Towards clinical implementation of automated segmentation of vestibular schwannomas: a reliability study comparing AI and human performance.

Neuroradiology Apr 4, 2025
PURPOSE: To evaluate the clinimetric reliability of automated vestibular schwannoma (VS) segmentations by a comparison with human inter-observer variability on T1-weighted contrast-enhanced MRI scans.
Magnetic Resonance Imaging Tumor Burden Image Interpretation, Computer-Assisted Observer Variation Neuroma, Acoustic Aged Adult Male Humans Middle Aged Artificial Intelligence Contrast Media Retrospective Studies Female Reproducibility of Results
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Deep Learning-Based ASPECTS Algorithm Enhances Reader Performance and Reduces Interpretation Time.

AJNR. American journal of neuroradiology Mar 4, 2025
BACKGROUND AND PURPOSE: ASPECTS is a long-standing and well-documented selection criterion for acute ischemic stroke treatment; however, the interpretation of ASPECTS is a challenging and time-consuming task for physicians with notable interobserver ...
Radiographic Image Interpretation, Computer-Assisted Observer Variation Computed Tomography Angiography Humans Algorithms Retrospective Studies Reproducibility of Results Deep Learning Ischemic Stroke
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Artificial intelligence quantification and experienced reader computed tomography analysis for differentiating normal from minimally and mildly diseased coronary arteries: an early real-world compatibility study.

The international journal of cardiovascular imaging Feb 28, 2025
Differentiating normal from minimally and mildly diseased coronary arteries on coronary computed tomographic angiography (CCTA) is crucial, impacting treatment decisions due to the extremely low coronary artery event risk associated with the former. ...
Vascular Calcification Asymptomatic Diseases Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation Coronary Vessels Plaque, Atherosclerotic Artificial Intelligence Retrospective Studies Female Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography Humans
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Impact of an artificial intelligence decision support system among radiologists with different levels of experience in breast ultrasound: A prospective study in a tertiary center.

European journal of radiology Feb 25, 2025
PURPOSE: To assess the impact of an artificial intelligence decision support system (Koios DS) on the diagnostic performance of radiologists with different experience in breast ultrasound and to evaluate its potential to reduce unnecessary biopsies.
Decision Support Systems, Clinical Aged Humans Sensitivity and Specificity Artificial Intelligence Tertiary Care Centers Breast Neoplasms Prospective Studies Radiologists Middle Aged Female Ultrasonography, Mammary Clinical Competence Reproducibility of Results Observer Variation
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Machine Learning in Intravascular Ultrasound: Validating Automated Lesion Assessment for Complex Coronary Interventions.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Feb 21, 2025
BACKGROUND: Intravascular ultrasound (IVUS) is essential for assessing complex coronary lesions, but remains underutilized in part due to difficulties in image interpretation. The AVVIGO IVUS Automated Lesion Assessment (ALA) software, which uses mac...
Predictive Value of Tests Ultrasonography, Interventional Humans Percutaneous Coronary Intervention Machine Learning Stents Aged Coronary Artery Disease Retrospective Studies Image Interpretation, Computer-Assisted Male Prosthesis Design Female Observer Variation Middle Aged Reproducibility of Results Automation Severity of Illness Index Coronary Vessels Treatment Outcome
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