AIMC Topic: Algorithms

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Deep learning-based motion correction algorithm for coronary CT angiography: Lowering the phase requirement for morphological and functional evaluation.

Journal of applied clinical medical physics Jul 24, 2023
PURPOSE: To investigate the performance of a deep learning-based motion correction algorithm (MCA) at various cardiac phases of coronary computed tomography angiography (CCTA), and determine the extent to which it may allow for reliable morphological...
Tomography, X-Ray Computed Deep Learning Coronary Angiography Algorithms Retrospective Studies Humans Computed Tomography Angiography Fractional Flow Reserve, Myocardial Constriction, Pathologic Coronary Artery Disease
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Modeling and design of heterogeneous hierarchical bioinspired spider web structures using deep learning and additive manufacturing.

Proceedings of the National Academy of Sciences of the United States of America Jul 24, 2023
Spider webs are incredible biological structures, comprising thin but strong silk filament and arranged into complex hierarchical architectures with striking mechanical properties (e.g., lightweight but high strength, achieving diverse mechanical res...
Commerce Cytoskeleton Spiders Animals Deep Learning Algorithms
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Artificial intelligence for the diagnosis of clinically significant prostate cancer based on multimodal data: a multicenter study.

BMC medicine Jul 24, 2023
BACKGROUND: The introduction of multiparameter MRI and novel biomarkers has greatly improved the prediction of clinically significant prostate cancer (csPCa). However, decision-making regarding prostate biopsy and prebiopsy examinations is still diff...
Male Prostatic Neoplasms Humans Artificial Intelligence Algorithms Machine Learning Retrospective Studies
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A nystagmus extraction system using artificial intelligence for video-nystagmography.

Scientific reports Jul 24, 2023
Benign paroxysmal positional vertigo (BPPV), the most common vestibular disorder, is diagnosed by an examiner changing the posture of the examinee and inducing nystagmus. Among the diagnostic methods used to observe nystagmus, video-nystagmography ha...
Algorithms Diagnostic Techniques, Ophthalmological Nystagmus, Pathologic Benign Paroxysmal Positional Vertigo Humans Neural Networks, Computer Artificial Intelligence
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Unsupervised deep learning-based displacement estimation for vascular elasticity imaging applications.

Physics in medicine and biology Jul 24, 2023
. Arterial wall stiffness can provide valuable information on the proper function of the cardiovascular system. Ultrasound elasticity imaging techniques have shown great promise as a low-cost and non-invasive tool to enable localized maps of arterial...
Humans Algorithms Deep Learning Carotid Arteries Pulse Wave Analysis Elasticity Phantoms, Imaging Ultrasonography Elasticity Imaging Techniques
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Deep Learning for Localized Detection of Optic Disc Hemorrhages.

American journal of ophthalmology Jul 23, 2023
PURPOSE: To develop an automated deep learning system for detecting the presence and location of disc hemorrhages in optic disc photographs.
Humans Glaucoma Retinal Hemorrhage ROC Curve Algorithms Optic Disk Deep Learning Optic Nerve Diseases
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Deep Learning-Based Motion Correction in Projection Domain for Coronary Computed Tomography Angiography: A Clinical Evaluation.

Journal of computer assisted tomography Jul 22, 2023
OBJECTIVE: This study aimed to evaluate the clinical performance of a deep learning-based motion correction algorithm (MCA) in projection domain for coronary computed tomography angiography (CCTA).
Tomography, X-Ray Computed Deep Learning Humans Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Angiography Algorithms Radiation Dosage Heart Rate
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Image Quality and Lesion Detectability of Pancreatic Phase Thin-Slice Computed Tomography Images With a Deep Learning-Based Reconstruction Algorithm.

Journal of computer assisted tomography Jul 22, 2023
OBJECTIVE: To evaluate the image quality and lesion detectability of pancreatic phase thin-slice computed tomography (CT) images reconstructed with a deep learning-based reconstruction (DLR) algorithm compared with filtered-back projection (FBP) and ...
Tomography, X-Ray Computed Deep Learning Pancreatic Neoplasms Algorithms Humans Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Radiation Dosage
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Deep learning-based automatic detection for pulmonary nodules on chest radiographs: The relationship with background lung condition, nodule characteristics, and location.

European journal of radiology Jul 22, 2023
PURPOSE: Computer-aided diagnosis (CAD), which assists in the interpretation of chest radiographs, is becoming common. However, few studies have evaluated the benefits and pitfalls of CAD in the real world. This study aimed to evaluate the independen...
Radiography Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Lung Deep Learning Humans Algorithms Sensitivity and Specificity
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Machine learning-based classification models for non-covalent Bruton's tyrosine kinase inhibitors: predictive ability and interpretability.

Molecular diversity Jul 21, 2023
In this study, we built classification models using machine learning techniques to predict the bioactivity of non-covalent inhibitors of Bruton's tyrosine kinase (BTK) and to provide interpretable and transparent explanations for these predictions. T...
Agammaglobulinaemia Tyrosine Kinase Tyrosine Kinase Inhibitors Neural Networks, Computer Machine Learning Support Vector Machine Protein Kinase Inhibitors Humans Algorithms
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