AIMC Topic: Calcinosis

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Development and external validation of a machine learning model for cardiac valve calcification early screening in dialysis patients: a multicenter study.

Renal failure Apr 24, 2025
BACKGROUND: Cardiac valve calcification (CVC) is common in dialysis patients and associated with increased cardiovascular risk. However, early screening has been limited by cost concerns. This study aimed to develop and validate a machine learning mo...
Machine Learning Female Aged Male Humans Calcinosis Kidney Failure, Chronic Heart Valve Diseases Early Diagnosis Middle Aged Risk Assessment Renal Dialysis Logistic Models
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Deep learning based automatic quantification of aortic valve calcification on contrast enhanced coronary CT angiography.

Scientific reports Mar 12, 2025
Quantifying aortic valve calcification is critical for assessing the severity of aortic stenosis, predicting cardiovascular risk, and guiding treatment decisions. This study evaluated the feasibility of a deep learning-based automatic quantification ...
Coronary Angiography Computed Tomography Angiography Aged, 80 and over Male Middle Aged Contrast Media Deep Learning Calcinosis Aortic Valve Stenosis Aortic Valve Humans Retrospective Studies Female Aged
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Segmentation of coronary artery and calcification using prior knowledge based deep learning framework.

Medical physics Jan 29, 2025
BACKGROUND: Computed tomography angiography (CTA) is used to screen for coronary artery calcification. As the coronary artery has complicated structure and tiny lumen, manual screening is a time-consuming task. Recently, many deep learning methods ha...
Deep Learning Image Processing, Computer-Assisted Calcinosis Coronary Artery Disease Humans Coronary Vessels Vascular Calcification Computed Tomography Angiography
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Identification and validation of the diagnostic biomarker MFAP5 for CAVD with type 2 diabetes by bioinformatics analysis.

Frontiers in immunology Dec 19, 2024
INTRODUCTION: Calcific aortic valve disease (CAVD) is increasingly prevalent among the aging population, and there is a notable lack of drug therapies. Consequently, identifying novel drug targets will be of utmost importance. Given that type 2 diabe...
Gene Regulatory Networks Computational Biology Databases, Genetic Gene Expression Profiling Humans Calcinosis Transcriptome Aortic Valve Stenosis Machine Learning Diabetes Mellitus, Type 2 Aortic Valve Biomarkers Protein Interaction Maps
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Artificial Intelligence-Assisted Segmentation of a Falx Cerebri Calcification on Cone-Beam Computed Tomography: A Case Report.

Medicina (Kaunas, Lithuania) Dec 12, 2024
Intracranial calcifications, particularly within the falx cerebri, serve as crucial diagnostic markers ranging from benign accumulations to signs of severe pathologies. The falx cerebri, a dural fold that separates the cerebral hemispheres, presents ...
Humans Artificial Intelligence Male Middle Aged Cone-Beam Computed Tomography Calcinosis Dura Mater
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Deep Learning Model of Diastolic Dysfunction Risk Stratifies the Progression of Early-Stage Aortic Stenosis.

JACC. Cardiovascular imaging Sep 18, 2024
BACKGROUND: The development and progression of aortic stenosis (AS) from aortic valve (AV) sclerosis is highly variable and difficult to predict.
Ventricular Dysfunction, Left Diastole Sclerosis Severity of Illness Index Deep Learning Time Factors United States Humans Calcinosis Echocardiography Aortic Valve Stenosis Middle Aged Aortic Valve Prognosis Risk Assessment Aged Predictive Value of Tests Female Disease Progression Male Reproducibility of Results Ventricular Function, Left Risk Factors
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Deep transfer learning for detection of breast arterial calcifications on mammograms: a comparative study.

European radiology experimental Jul 15, 2024
INTRODUCTION: Breast arterial calcifications (BAC) are common incidental findings on routine mammograms, which have been suggested as a sex-specific biomarker of cardiovascular disease (CVD) risk. Previous work showed the efficacy of a pretrained con...
Humans Retrospective Studies Female Breast Vascular Calcification Breast Diseases Deep Learning Aged Calcinosis Adult Mammography Middle Aged Radiographic Image Interpretation, Computer-Assisted
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Deep-learning survival analysis for patients with calcific aortic valve disease undergoing valve replacement.

Scientific reports May 13, 2024
Calcification of the aortic valve (CAVDS) is a major cause of aortic stenosis (AS) leading to loss of valve function which requires the substitution by surgical aortic valve replacement (SAVR) or transcatheter aortic valve intervention (TAVI). These ...
Aortic Valve Survival Analysis Heart Valve Prosthesis Implantation Proportional Hazards Models Transcatheter Aortic Valve Replacement Risk Assessment Deep Learning Calcinosis Aortic Valve Stenosis Humans Aged, 80 and over Female Male Risk Factors Middle Aged Aged
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MOB-CBAM: A dual-channel attention-based deep learning generalizable model for breast cancer molecular subtypes prediction using mammograms.

Computer methods and programs in biomedicine Mar 10, 2024
BACKGROUND AND OBJECTIVE: Deep Learning models have emerged as a significant tool in generating efficient solutions for complex problems including cancer detection, as they can analyze large amounts of data with high efficiency and performance. Recen...
Humans Neoplasms Deep Learning Image Processing, Computer-Assisted Calcinosis Mammography
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Quantifying the calcification of abdominal aorta and major side branches with deep learning.

Clinical radiology Feb 3, 2024
AIM: To explore the possibility of a neural network-based method for quantifying calcifications of the abdominal aorta and its branches.
Computed Tomography Angiography Renal Artery Deep Learning Humans Calcinosis Aorta, Abdominal
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