AIMC Topic: Radiographic Image Interpretation, Computer-Assisted

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Gated cardiac CT in infants: What can we expect from deep learning image reconstruction algorithm?

Journal of cardiovascular computed tomography Mar 12, 2024
BACKGROUND: ECG-gated cardiac CT is now widely used in infants with congenital heart disease (CHD). Deep Learning Image Reconstruction (DLIR) could improve image quality while minimizing the radiation dose.
Radiation Dosage Heart Defects, Congenital Phantoms, Imaging Computed Tomography Angiography Radiation Exposure Cardiac-Gated Imaging Techniques Electrocardiography Humans Age Factors Reproducibility of Results Predictive Value of Tests Infant Coronary Angiography Deep Learning Radiographic Image Interpretation, Computer-Assisted
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Reproducibility of artificial intelligence-enabled plaque measurements between systolic and diastolic phases from coronary computed tomography angiography.

European radiology Mar 11, 2024
OBJECTIVES: Current coronary CT angiography (CTA) guidelines suggest both end-systolic and mid-diastolic phases of the cardiac cycle can be used for CTA image acquisition. However, whether differences in the phase of the cardiac cycle influence coron...
Artificial Intelligence Female Reproducibility of Results Aged Male Middle Aged Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Humans Systole Plaque, Atherosclerotic Computed Tomography Angiography Diastole
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Artificial intelligence-assisted double reading of chest radiographs to detect clinically relevant missed findings: a two-centre evaluation.

European radiology Mar 11, 2024
OBJECTIVES: To evaluate an artificial intelligence (AI)-assisted double reading system for detecting clinically relevant missed findings on routinely reported chest radiographs.
Aged Diagnostic Errors Male Humans Natural Language Processing Middle Aged Artificial Intelligence Radiographic Image Interpretation, Computer-Assisted Deep Learning Algorithms Radiography, Thoracic Retrospective Studies Female
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Deep Learning Image Reconstruction for Transcatheter Aortic Valve Implantation Planning: Image Quality, Diagnostic Performance, Contrast volume and Radiation Dose Assessment.

Academic radiology Mar 11, 2024
RATIONALE AND OBJECTIVES: To assess image quality, contrast volume and radiation dose reduction potential and diagnostic performance with the use of high-strength deep learning image reconstruction (DLIR-H) in transcatheter aortic valve implantation ...
Deep Learning Contrast Media Aortic Valve Stenosis Coronary Angiography Humans Radiation Dosage Female Radiographic Image Interpretation, Computer-Assisted Prospective Studies Transcatheter Aortic Valve Replacement Aged Tomography, X-Ray Computed Aged, 80 and over Male
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Diagnostic performance of deep learning to exclude coronary stenosis on CT angiography in TAVI patients.

The international journal of cardiovascular imaging Mar 10, 2024
We evaluated the diagnostic performance of a deep-learning model (DLM) (CorEx®, Spimed-AI, Paris, France) designed to automatically detect > 50% coronary stenosis on coronary computed tomography angiography (CCTA) images. We studied inter-observer va...
Transcatheter Aortic Valve Replacement Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Observer Variation Coronary Vessels False Positive Reactions Multidetector Computed Tomography Computed Tomography Angiography Humans Coronary Stenosis Retrospective Studies Male Female Severity of Illness Index Reproducibility of Results Deep Learning Aged Aortic Valve Stenosis Aged, 80 and over Aortic Valve
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Evaluation of Effectiveness of Self-Supervised Learning in Chest X-Ray Imaging to Reduce Annotated Images.

Journal of imaging informatics in medicine Mar 8, 2024
A significant challenge in machine learning-based medical image analysis is the scarcity of medical images. Obtaining a large number of labeled medical images is difficult because annotating medical images is a time-consuming process that requires sp...
Radiographic Image Interpretation, Computer-Assisted Supervised Machine Learning Radiography, Thoracic Humans COVID-19 SARS-CoV-2
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Improving the detection of hypo-vascular liver metastases in multiphase contrast-enhanced CT with slice thickness less than 5 mm using DenseNet.

Radiography (London, England : 1995) Mar 8, 2024
INTRODUCTION: Thinner slices are more susceptible in detecting small lesions but suffer from higher statistical fluctuation. This work aimed to reduce image noise in multiphase contrast-enhanced CT reconstructed with slice thickness thinner than the ...
Liver Neoplasms Contrast Media Liver Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Signal-To-Noise Ratio Phantoms, Imaging Female Aged Male Middle Aged Humans Neural Networks, Computer
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A fully automated artificial intelligence-driven software for planning of transcatheter aortic valve replacement.

Cardiovascular revascularization medicine : including molecular interventions Mar 7, 2024
BACKGROUND: Transcatheter aortic valve replacement (TAVR) is increasingly performed for the treatment of aortic stenosis. Computed tomography (CT) analysis is essential for pre-procedural planning. Currently available software packages for TAVR plann...
Multidetector Computed Tomography Heart Valve Prosthesis Transcatheter Aortic Valve Replacement Software Validation Radiographic Image Interpretation, Computer-Assisted Prosthesis Design Observer Variation Automation Software Reproducibility of Results Aortic Valve Stenosis Humans Aortic Valve Artificial Intelligence Predictive Value of Tests
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Natural language processing to phenotype coronary computed tomography angiography: Development, validation, and initial results of a large multi-institution cohort.

Journal of cardiovascular computed tomography Mar 7, 2024
Humans Phenotype Predictive Value of Tests Natural Language Processing Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Female Reproducibility of Results Aged Male Middle Aged Coronary Vessels Computed Tomography Angiography
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AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging.

JACC. Cardiovascular imaging Mar 6, 2024
BACKGROUND: Computed tomography attenuation correction (CTAC) improves perfusion quantification of hybrid myocardial perfusion imaging by correcting for attenuation artifacts. Artificial intelligence (AI) can automatically measure coronary artery cal...
Aged Male Middle Aged Risk Assessment Time Factors Retrospective Studies Humans Vascular Calcification Female Artificial Intelligence Reproducibility of Results Computed Tomography Angiography Predictive Value of Tests Prognosis Risk Factors Coronary Circulation Coronary Angiography Myocardial Perfusion Imaging Radiographic Image Interpretation, Computer-Assisted Single Photon Emission Computed Tomography Computed Tomography Coronary Artery Disease Coronary Vessels
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