AIMC Topic: Computed Tomography Angiography
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Deep learning reconstruction algorithm and high-concentration contrast medium: feasibility of a double-low protocol in coronary computed tomography angiography.
European radiology
Sep 19, 2024
OBJECTIVE: To evaluate radiation dose and image quality of a double-low CCTA protocol reconstructed utilizing high-strength deep learning image reconstructions (DLIR-H) compared to standard adaptive statistical iterative reconstruction (ASiR-V) proto...
Added value of artificial intelligence solutions for arterial stenosis detection on head and neck CT angiography: A randomized crossover multi-reader multi-case study.
Diagnostic and interventional imaging
Sep 19, 2024
PURPOSE: The purpose of this study was to investigate the added value of artificial intelligence (AI) solutions for the detection of arterial stenosis (AS) on head and neck CT angiography (CTA).
Accuracy of deep learning in the differential diagnosis of coronary artery stenosis: a systematic review and meta-analysis.
BMC medical imaging
Sep 16, 2024
BACKGROUND: In recent years, as deep learning has received widespread attention in the field of heart disease, some studies have explored the potential of deep learning based on coronary angiography (CAG) or coronary CT angiography (CCTA) images in d...
Perforator Selection with Computed Tomography Angiography for Unilateral Breast Reconstruction: A Clinical Multicentre Analysis.
Medicina (Kaunas, Lithuania)
Sep 14, 2024
: Despite CTAs being critical for preoperative planning in autologous breast reconstruction, experienced plastic surgeons may have differing preferences for which side of the abdomen to use for unilateral breast reconstruction. Large language models ...
The value of CCTA combined with machine learning for predicting angina pectoris in the anomalous origin of the right coronary artery.
Biomedical engineering online
Sep 12, 2024
BACKGROUND: Anomalous origin of coronary artery is a common coronary artery anatomy anomaly. The anomalous origin of the coronary artery may lead to problems such as narrowing of the coronary arteries at the beginning of the coronary arteries and abn...
Artificial intelligence-assisted measurements of coronary computed tomography angiography parameters such as stenosis, flow reserve, and fat attenuation for predicting major adverse cardiac events in patients with coronary arterial disease.
Biomolecules & biomedicine
Sep 6, 2024
Advancements in artificial intelligence (AI) offer promising tools for improving diagnostic accuracy and patient outcomes in cardiovascular medicine. This study explores the potential of AI-assisted measurements in enhancing the prediction of major a...
Volume Measurements for Surveillance after Endovascular Aneurysm Repair using Artificial Intelligence.
European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery
Sep 3, 2024
OBJECTIVE: Surveillance after endovascular aneurysm repair (EVAR) is suboptimal due to limited compliance and relatively large variability in measurement methods of abdominal aortic aneurysm (AAA) sac size after treatment. Measuring volume offers a m...
Predictive Value of Tests
Aortic Aneurysm, Abdominal
Radiographic Image Interpretation, Computer-Assisted
Blood Vessel Prosthesis Implantation
Aged
Aged, 80 and over
Male
Treatment Outcome
Endovascular Procedures
Computed Tomography Angiography
Aortography
Endovascular Aneurysm Repair
Humans
Artificial Intelligence
Software
Retrospective Studies
Female
Reproducibility of Results
A Scoping Review of Machine-Learning Derived Radiomic Analysis of CT and PET Imaging to Investigate Atherosclerotic Cardiovascular Disease.
Tomography (Ann Arbor, Mich.)
Sep 3, 2024
BACKGROUND: Cardiovascular disease affects the carotid arteries, coronary arteries, aorta and the peripheral arteries. Radiomics involves the extraction of quantitative data from imaging features that are imperceptible to the eye. Radiomics analysis ...
Fully automated epicardial adipose tissue volume quantification with deep learning and relationship with CAC score and micro/macrovascular complications in people living with type 2 diabetes: the multicenter EPIDIAB study.
Cardiovascular diabetology
Sep 3, 2024
BACKGROUND: The aim of this study (EPIDIAB) was to assess the relationship between epicardial adipose tissue (EAT) and the micro and macrovascular complications (MVC) of type 2 diabetes (T2D).
Humans
Prognosis
Female
Reproducibility of Results
Computed Tomography Angiography
Pericardium
Epicardial Adipose Tissue
Predictive Value of Tests
Coronary Angiography
Radiographic Image Interpretation, Computer-Assisted
Coronary Artery Disease
Adiposity
Automation
Diabetic Angiopathies
Vascular Calcification
Risk Assessment
Risk Factors
Deep Learning
Aged
Diabetes Mellitus, Type 2
Male
Adipose Tissue
Middle Aged
Can large language models be new supportive tools in coronary computed tomography angiography reporting?
Clinical imaging
Aug 31, 2024
The advent of large language models (LLMs) marks a transformative leap in natural language processing, offering unprecedented potential in radiology, particularly in enhancing the accuracy and efficiency of coronary artery disease (CAD) diagnosis. Wh...
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