AIMC Topic: Orbit

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A novel clinical investigation using deep learning and human-in-the-loop approach in orbital volume measurement.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery Jan 27, 2025
Orbital volume assessment is crucial for surgical planning. Traditional methods lack efficiency and accuracy. Recent studies explore AI-driven techniques, but research on their clinical effectiveness is limited. This study included 349 patients aged ...
Young Adult Adult Male Female Aged Imaging, Three-Dimensional Organ Size Orbit Middle Aged Deep Learning Humans Tomography, X-Ray Computed
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An ensemble deep learning diagnostic system for determining Clinical Activity Scores in thyroid-associated ophthalmopathy: integrating multi-view multimodal images from anterior segment slit-lamp photographs and facial images.

Frontiers in endocrinology Apr 2, 2024
BACKGROUND: Thyroid-associated ophthalmopathy (TAO) is the most prevalent autoimmune orbital condition, significantly impacting patients' appearance and quality of life. Early and accurate identification of active TAO along with timely treatment can ...
Humans Deep Learning Orbit Pain Graves Ophthalmopathy Quality of Life
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Deep learning-accelerated image reconstruction in MRI of the orbit to shorten acquisition time and enhance image quality.

Journal of neuroimaging : official journal of the American Society of Neuroimaging Jan 9, 2024
BACKGROUND AND PURPOSE: This study explores the use of deep learning (DL) techniques in MRI of the orbit to enhance imaging. Standard protocols, although detailed, have lengthy acquisition times. We investigate DL-based methods for T2-weighted and T1...
Orbit Image Processing, Computer-Assisted Humans Artifacts Magnetic Resonance Imaging Neuroimaging Deep Learning
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Deep learning in ophthalmic and orbital ultrasound for spaceflight associated neuro-ocular syndrome (SANS).

Eye (London, England) Dec 22, 2023
Space Flight Orbit Syndrome Deep Learning Ultrasonography Humans
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A Comparison of Endoscope-Assisted and Open Frontoorbital Distraction for the Treatment of Unicoronal Craniosynostosis.

Plastic and reconstructive surgery Oct 16, 2023
BACKGROUND: Frontoorbital distraction osteogenesis (FODO) is an established surgical technique for patients with unicoronal craniosynostosis. The authors' institution has used an endoscope-assisted technique (endo-FODO) in recent years to decrease cu...
Orbit Male Frontal Bone Female Cicatrix Humans Endoscopy Craniosynostoses Treatment Outcome Length of Stay Infant Retrospective Studies Osteogenesis, Distraction Operative Time
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Inter-Slice Resolution Improvement Using Convolutional Neural Network with Orbital Bone Edge-Aware in Facial CT Images.

Journal of digital imaging Aug 22, 2022
The 3D modeling of orbital bones in facial CT images is essential to provide a customized implant for reconstructions of orbit and related structures during surgery. However, 3D models of the orbital bone show an aliasing effect and disconnected thin...
Orbit Head Neural Networks, Computer Tomography, X-Ray Computed Humans
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Exploring planet geology through force-feedback telemanipulation from orbit.

Science robotics Apr 20, 2022
Current space exploration roadmaps envision exploring the surface geology of celestial bodies with robots for both scientific research and in situ resource utilization. In such unstructured, poorly lit, complex, and remote environments, automation is...
Planets Feedback Orbit Geology Robotics
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Comparison of Display Modality and Human-in-the-Loop Presence for On-Orbit Inspection of Spacecraft.

Human factors Sep 24, 2021
OBJECTIVE: To investigate the impact of interface display modalities and human-in-the-loop presence on the awareness, workload, performance, and user strategies of humans interacting with teleoperated robotic systems while conducting inspection tasks...
Spacecraft Robotics Orbit Workload Humans User-Computer Interface
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A deep learning method for automatic segmentation of the bony orbit in MRI and CT images.

Scientific reports Jul 1, 2021
This paper proposes a fully automatic method to segment the inner boundary of the bony orbit in two different image modalities: magnetic resonance imaging (MRI) and computed tomography (CT). The method, based on a deep learning architecture, uses two...
Neural Networks, Computer Tomography, X-Ray Computed Magnetic Resonance Imaging Orbit Deep Learning Humans
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Artificial intelligence CT screening model for thyroid-associated ophthalmopathy and tests under clinical conditions.

International journal of computer assisted radiology and surgery Nov 4, 2020
PURPOSE: Thyroid-associated ophthalmopathy (TAO) might lead to blindness and orbital deformity. The early diagnosis and treatment are conducive to control disease progression, but currently, there is no effective screening method. The present study a...
Nerve Net Artificial Intelligence Disease Progression Graves Ophthalmopathy Orbit Humans Tomography, X-Ray Computed
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