AIMC Topic: Imaging, Three-Dimensional

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Application of 3D neural networks and explainable AI to classify ICDAS detection system on mandibular molars.

The Journal of prosthetic dentistry Oct 22, 2024
STATEMENT OF PROBLEM: Considerable variations exist in cavity preparation methods and approaches. Whether the extent and depth of cavity preparation because of the extent of caries affects the overall accuracy of training deep learning models remains...
Humans Neural Networks, Computer Mandible Dental Caries Computer-Aided Design Molar Deep Learning Dental Cavity Preparation Imaging, Three-Dimensional
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Fully automated method for three-dimensional segmentation and fine classification of mixed dentition in cone-beam computed tomography using deep learning.

Journal of dentistry Oct 22, 2024
OBJECTIVE: To establish a high-precision, automated model using deep learning for the fine classification and three-dimensional (3D) segmentation of mixed dentition in cone-beam computed tomography (CBCT) images.
Imaging, Three-Dimensional Image Processing, Computer-Assisted Dentition, Permanent Dentition, Mixed Deep Learning Child Cone-Beam Computed Tomography Humans Female Male
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3D CNN for neuropsychiatry: Predicting Autism with interpretable Deep Learning applied to minimally preprocessed structural MRI data.

PloS one Oct 21, 2024
Predictive modeling approaches are enabling progress toward robust and reproducible brain-based markers of neuropsychiatric conditions by leveraging the power of multivariate analyses of large datasets. While deep learning (DL) offers another promisi...
Neuropsychiatry Deep Learning Female Adolescent Imaging, Three-Dimensional Adult Humans Child Neural Networks, Computer Magnetic Resonance Imaging Male Autistic Disorder Brain
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A machine learning algorithm for creating isotropic 3D aortic segmentations from routine cardiac MR localizers.

Magnetic resonance imaging Oct 12, 2024
BACKGROUND: The identification and measurement of aortic aneurysms is an important clinical problem. While specialized high-resolution 3D CMR sequences allow detailed aortic assessment, they are time-consuming which limits their use in screening rout...
Humans Machine Learning Algorithms Male Middle Aged Imaging, Three-Dimensional Image Processing, Computer-Assisted Female Reproducibility of Results Aged Anisotropy Observer Variation Aorta Aortic Aneurysm Magnetic Resonance Imaging Heart Image Interpretation, Computer-Assisted
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The utilization of artificial intelligence in enhancing 3D/4D ultrasound analysis of fetal facial profiles.

Journal of perinatal medicine Oct 10, 2024
Artificial intelligence (AI) has emerged as a transformative technology in the field of healthcare, offering significant advancements in various medical disciplines, including obstetrics. The integration of artificial intelligence into 3D/4D ultrasou...
Pregnancy Female Ultrasonography, Prenatal Imaging, Three-Dimensional Face Humans Artificial Intelligence
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Two-stage deep learning framework for occlusal crown depth image generation.

Computers in biology and medicine Oct 3, 2024
The generation of depth images of occlusal dental crowns is complicated by the need for customization in each case. To decrease the workload of skilled dental technicians, various computer vision models have been used to generate realistic occlusal c...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Crowns Humans Deep Learning
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Automated orofacial virtual patient creation: A proof of concept.

Journal of dentistry Oct 2, 2024
OBJECTIVES: To (1) construct a virtual patient (VP) using facial scan, intraoral scan, and low-dose computed tomography scab based on an Artificial intelligence (AI)-approach, (2) quantitatively compare it with AI-refined and semi-automatic registrat...
Humans User-Computer Interface Imaging, Three-Dimensional Image Processing, Computer-Assisted Proof of Concept Study Artificial Intelligence Patient Care Planning Female Patient Satisfaction Software Adult Face Tomography, X-Ray Computed Male
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Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre-trained with 2D scans.

Nature biomedical engineering Oct 1, 2024
The application of machine learning to tasks involving volumetric biomedical imaging is constrained by the limited availability of annotated datasets of three-dimensional (3D) scans for model training. Here we report a deep-learning model pre-trained...
Tomography, Optical Coherence Ultrasonography Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Risk Factors Algorithms Machine Learning Deep Learning Tomography, X-Ray Computed
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Role of artificial intelligence in treatment planning and outcome prediction of jaw corrective surgeries by using 3-D imaging: a systematic review.

Oral surgery, oral medicine, oral pathology and oral radiology Oct 1, 2024
OBJECTIVE: Artificial intelligence (AI) has been increasingly utilized in diagnosis of skeletal deformities, while its role in treatment planning and outcome prediction of jaw corrective surgeries with 3-dimensional (3D) imaging remains underexplored...
Patient Care Planning Imaging, Three-Dimensional Treatment Outcome Orthognathic Surgical Procedures Humans Artificial Intelligence Tomography, X-Ray Computed
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Label refinement network from synthetic error augmentation for medical image segmentation.

Medical image analysis Sep 27, 2024
Deep convolutional neural networks for image segmentation do not learn the label structure explicitly and may produce segmentations with an incorrect structure, e.g., with disconnected cylindrical structures in the segmentation of tree-like structure...
Algorithms Brain Tomography, X-Ray Computed Humans Computed Tomography Angiography Neural Networks, Computer Imaging, Three-Dimensional Image Processing, Computer-Assisted Radiography, Thoracic
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