AIMC Topic: Graves Ophthalmopathy

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A Preliminary Evaluation of the Diagnostic Performance of a Smartphone-Based Machine Learning-Assisted System for Evaluation of Clinical Activity Score in Digital Images of Thyroid-Associated Orbitopathy.

Thyroid : official journal of the American Thyroid Association May 2, 2024
We previously developed a machine learning (ML)-assisted system for predicting the clinical activity score (CAS) in thyroid-associated orbitopathy (TAO) using digital facial images taken by a digital single-lens reflex camera in a studio setting. In...
Smartphone Photography Ophthalmologists Male Middle Aged Machine Learning Graves Ophthalmopathy Aged Adult Female Humans
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Advances in artificial intelligence in thyroid-associated ophthalmopathy.

Frontiers in endocrinology Apr 23, 2024
Thyroid-associated ophthalmopathy (TAO), also referred to as Graves' ophthalmopathy, is a medical condition wherein ocular complications arise due to autoimmune thyroid illness. The diagnosis of TAO, reliant on imaging, typical ocular symptoms, and a...
Graves Ophthalmopathy Humans Deep Learning Artificial Intelligence
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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 ...
Quality of Life Deep Learning Graves Ophthalmopathy Pain Orbit Humans
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Artificial Intelligence-based quantitative evaluation of retinal vascular parameters in thyroid-associated ophthalmopathy.

Endocrine Feb 3, 2024
PURPOSE: Thyroid-associated ophthalmopathy (TAO) may result in increased metabolism and abnormalities in microcirculation. The fractal dimension (Df) of retinal vessels has been shown to be related to the pathology of a number of ophthalmic disorders...
Adult Male Adolescent Retinal Vessels Middle Aged Female Aged Young Adult Artificial Intelligence Graves Ophthalmopathy Humans
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Application of artificial intelligence in the assessment of thyroid eye disease (TED) - a scoping review.

Frontiers in endocrinology Dec 20, 2023
BACKGROUND: There is emerging evidence which suggests the utility of artificial intelligence (AI) in the diagnostic assessment and pre-treatment evaluation of thyroid eye disease (TED). This scoping review aims to (1) identify the extent of the avail...
Graves Ophthalmopathy Humans Artificial Intelligence Machine Learning Neural Networks, Computer Algorithms
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Retinal Photograph-based Deep Learning System for Detection of Thyroid-Associated Ophthalmopathy.

The Journal of craniofacial surgery Dec 11, 2023
BACKGROUND: The diagnosis of thyroid-associated ophthalmopathy (TAO) usually requires a comprehensive examination, including clinical symptoms, radiological examinations, and blood tests. Therefore, cost-effective and noninvasive methods for the dete...
Deep Learning China Retina Photography ROC Curve Sensitivity and Specificity Male Middle Aged Female Adult Humans Neural Networks, Computer Graves Ophthalmopathy
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Exploring the Use of ChatGPT in Delivering Evidence-Based Information to Patients with Thyroid Eye Disease.

Ophthalmic plastic and reconstructive surgery Nov 23, 2023
Humans Artificial Intelligence Graves Ophthalmopathy Patient Education as Topic
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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...
Humans Nerve Net Graves Ophthalmopathy Tomography, X-Ray Computed Disease Progression Artificial Intelligence Orbit
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Multimodal large language models as assistance for evaluation of thyroid-associated ophthalmopathy.

Computers in biology and medicine Jun 1, 2025
This study evaluated the potential of multimodal AI chatbots, specifically ChatGPT-4o, in assessing thyroid-associated ophthalmopathy (TAO) through the Clinical Activity Score (CAS). Using publicly available case reports and datasets, ChatGPT-4o was ...
Graves Ophthalmopathy Neural Networks, Computer Humans ROC Curve Databases, Factual Large Language Models
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Deep-Learning Based Automated Segmentation and Quantitative Volumetric Analysis of Orbital Muscle and Fat for Diagnosis of Thyroid Eye Disease.

Investigative ophthalmology & visual science May 1, 2024
PURPOSE: Thyroid eye disease (TED) is characterized by proliferation of orbital tissues and complicated by compressive optic neuropathy (CON). This study aims to utilize a deep-learning (DL)-based automated segmentation model to segment orbital muscl...
Retrospective Studies Tomography, X-Ray Computed Female Humans Graves Ophthalmopathy Middle Aged Deep Learning ROC Curve Adult Male Aged Orbit Oculomotor Muscles Adipose Tissue Organ Size
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