AIMC Topic: Skull

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Quantifying dysmorphologies of the neurocranium using artificial neural networks.

Journal of anatomy May 17, 2024
BACKGROUND: Craniosynostosis, a congenital condition characterized by the premature fusion of cranial sutures, necessitates objective methods for evaluating cranial morphology to enhance patient treatment. Current subjective assessments often lead to...
Skull Humans Neural Networks, Computer Imaging, Three-Dimensional Craniosynostoses
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Experience of Using Neural Networks to Assess Age-Related Changes in Some Structures of the Skull and Cervical Vertebrae Based on CT Scans (Pilot Project).

Sovremennye tekhnologii v meditsine Apr 27, 2024
UNLABELLED: is to study the possibility of using artificial intelligence technologies for age prediction based on CT studies of some structures of the skull and cervical vertebrae.
Age Determination by Skeleton Cervical Vertebrae Skull Humans Aging Tomography, X-Ray Computed Middle Aged Female Pilot Projects Neural Networks, Computer Adolescent Deep Learning Aged Adult Young Adult Aged, 80 and over Male
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Phase Aberration Correction for In Vivo Ultrasound Localization Microscopy Using a Spatiotemporal Complex-Valued Neural Network.

IEEE transactions on medical imaging Feb 2, 2024
Ultrasound Localization Microscopy (ULM) can map microvessels at a resolution of a few micrometers ( [Formula: see text]). Transcranial ULM remains challenging in presence of aberrations caused by the skull, which lead to localization errors. Herein,...
Neural Networks, Computer Brain Animals Skull Microscopy Microbubbles Ultrasonography Mice
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Assessment of accuracy and reproducibility of cephalometric identification performed by 2 artificial intelligence-driven tracing applications and human examiners.

Oral surgery, oral medicine, oral pathology and oral radiology Jan 22, 2024
OBJECTIVE: To assess the accuracy and reproducibility of cephalometric landmark identification performed by 2 artificial intelligence (AI)-driven applications (CefBot and WebCeph) and human examiners.
Artificial Intelligence Reproducibility of Results Cephalometry Skull Radiography Humans
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Transcranial Phase Correction Using Pulse-Echo Ultrasound and Deep Learning: A 2-D Numerical Study.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Jan 9, 2024
Phase aberration caused by human skulls severely degrades the quality of transcranial ultrasound images, posing a major challenge in the practical application of transcranial ultrasound techniques in adults. Aberration can be corrected if the skull p...
Deep Learning Ultrasonography Humans Tomography, X-Ray Computed Acoustics Skull
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Artificial intelligence-based forensic sex determination of East Asian cadavers from skull morphology.

Scientific reports Nov 29, 2023
Identification of unknown cadavers is an important task for forensic scientists. Forensic scientists attempt to identify skeletal remains based on factors including age, sex, and dental treatment remains. Forensic scientists commonly consider skull o...
Artificial Intelligence Reproducibility of Results Humans Cadaver Sex Determination by Skeleton Skull Imaging, Three-Dimensional East Asian People Forensic Anthropology
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Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution.

Scientific reports Nov 19, 2023
Traditional convolutional neural network (CNN) methods rely on dense tensors, which makes them suboptimal for spatially sparse data. In this paper, we propose a CNN model based on sparse tensors for efficient processing of high-resolution shapes repr...
Skull Image Processing, Computer-Assisted Head Neural Networks, Computer
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EPT-Net: Edge Perception Transformer for 3D Medical Image Segmentation.

IEEE transactions on medical imaging Oct 27, 2023
The convolutional neural network has achieved remarkable results in most medical image seg- mentation applications. However, the intrinsic locality of convolution operation has limitations in modeling the long-range dependency. Although the Transform...
Perception Image Processing, Computer-Assisted Neural Networks, Computer Skull
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Embryonic cranial cartilage defects in the Fgfr3 mouse model of achondroplasia.

Anatomical record (Hoboken, N.J. : 2007) Sep 25, 2023
Achondroplasia, the most common chondrodysplasia in humans, is caused by one of two gain of function mutations localized in the transmembrane domain of fibroblast growth factor receptor 3 (FGFR3) leading to constitutive activation of FGFR3 and subseq...
Mice Disease Models, Animal Receptor, Fibroblast Growth Factor, Type 3 Skull Animals X-Ray Microtomography Achondroplasia Mutation Cartilage
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Robotic calvarial bone sampling.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery Sep 6, 2023
The aim of this study was to assess the feasibility of complex unicortical calvarial harvesting by using the Cold Ablation Robot-Guided Laser Osteotome (CARLO® primo+). A cadaveric study was performed with a progressive complexity of the bone harvest...
Robotic Surgical Procedures Cadaver Humans Osteotomy Skull Robotics
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