AIMC Topic: Middle Aged

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Enhanced CT imaging artificial neural network coronary artery calcification score assisted diagnosis.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: The study of coronary artery calcification (CAC) may assist in identifying additional coronary artery problem protective factors. On the contrary side, due to the wide variety of CAC as individuals, CAC research is difficult. Due to this,...
Vascular Calcification Algorithms Male Tomography, X-Ray Computed Middle Aged Humans Female Coronary Artery Disease Neural Networks, Computer Reproducibility of Results Machine Learning
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Evaluation of Interstitial Lung Diseases with Deep Learning Method of Two Major Computed Tomography Patterns.

Current medical imaging Jan 1, 2024
BACKGROUND: Interstitial lung diseases (ILD) encompass various disorders characterized by inflammation and/or fibrosis in the lung interstitium. These conditions produce distinct patterns in High-Resolution Computed Tomography (HRCT).
Lung Deep Learning Lung Diseases, Interstitial Aged Male Middle Aged Humans Tomography, X-Ray Computed Female
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Coronary heart disease classification using deep learning approach with feature selection for improved accuracy.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Coronary heart disease (CHD) is one of the deadliest diseases and a risk prediction model for cardiovascular conditions is needed. Due to the huge number of features that lead to heart problems, it is often difficult for an expert to eval...
Nutrition Surveys Humans Coronary Disease Middle Aged Neural Networks, Computer Risk Assessment Female Deep Learning Aged ROC Curve Male
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Detection of anemic condition in patients from clinical markers and explainable artificial intelligence.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Anaemia is a commonly known blood illness worldwide. Red blood cell (RBC) count or oxygen carrying capability being insufficient are two ways to describe anaemia. This disorder has an impact on the quality of life. If anaemia is detected ...
Female Adult Male Middle Aged Support Vector Machine Bayes Theorem Anemia Artificial Intelligence Machine Learning Algorithms Humans Biomarkers
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Peri-lesion regions in differentiating suspicious breast calcification-only lesions specifically on contrast enhanced mammography.

Journal of X-ray science and technology Jan 1, 2024
PURPOSE: The explore the added value of peri-calcification regions on contrast-enhanced mammography (CEM) in the differential diagnosis of breast lesions presenting as only calcification on routine mammogram.
Contrast Media Calcinosis Aged Mammography Adult Humans Radiographic Image Interpretation, Computer-Assisted Diagnosis, Differential Breast Neoplasms Machine Learning Breast Middle Aged Female
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Development and validation of a clinical prediction model for glioma grade using machine learning.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Histopathological evaluation is currently the gold standard for grading gliomas; however, this technique is invasive.
Middle Aged Glioma Area Under Curve Neoplasm Grading Aged Adult Brain Neoplasms Male Algorithms Female Risk Factors Humans Machine Learning
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Deep learning-based differentiation of peripheral high-flow and low-flow vascular malformations in T2-weighted short tau inversion recovery MRI.

Clinical hemorheology and microcirculation Jan 1, 2024
BACKGROUND: Differentiation of high-flow from low-flow vascular malformations (VMs) is crucial for therapeutic management of this orphan disease.
Deep Learning Adolescent Child, Preschool Child Adult Male Middle Aged Magnetic Resonance Imaging Vascular Malformations Humans Female Aged
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Application of Machine-learning based on Radiomics Features in Differential Diagnosis of Superficial Lymphadenopathy.

Current medical imaging Jan 1, 2024
OBJECTIVE: The accurate diagnosis of superficial lymphadenopathy is challenging. We aim to explore a non-invasive and accurate machine-learning method for distinguishing benign lymph nodes, lymphoma, and metastatic lymph nodes.
Retrospective Studies Female Aged Adult Humans Machine Learning Lymphoma Ultrasonography Lymphatic Metastasis ROC Curve Diagnosis, Differential Lymphadenopathy Area Under Curve Lymph Nodes Radiomics Male Middle Aged
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Prospective Comparison of Standard and Deep Learning-reconstructed Turbo Spin-Echo MRI of the Shoulder.

Radiology Jan 1, 2024
Background Deep learning (DL)-based MRI reconstructions can reduce imaging times for turbo spin-echo (TSE) examinations. However, studies that prospectively use DL-based reconstructions of rapidly acquired, undersampled MRI in the shoulder are lackin...
Shoulder Physical Examination Deep Learning Magnetic Resonance Imaging Humans Artifacts Female Adult Middle Aged
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Comparison of Commercial AI Software Performance for Radiograph Lung Nodule Detection and Bone Age Prediction.

Radiology Jan 1, 2024
Background Multiple commercial artificial intelligence (AI) products exist for assessing radiographs; however, comparable performance data for these algorithms are limited. Purpose To perform an independent, stand-alone validation of commercially ava...
Humans Artificial Intelligence Male Middle Aged Software Lung Algorithms Child Retrospective Studies Female
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