AIMC Topic: Graves Ophthalmopathy

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Multimodal large language models as assistance for evaluation of thyroid-associated ophthalmopathy.

Computers in biology and medicine
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 ...

Deep-Learning Based Automated Segmentation and Quantitative Volumetric Analysis of Orbital Muscle and Fat for Diagnosis of Thyroid Eye Disease.

Investigative ophthalmology & visual science
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...

Robot-Assisted Orbital Fat Decompression Surgery: First in Human.

Translational vision science & technology
PURPOSE: To explore the safety and feasibility of robot-assisted orbital fat decompression surgery.

Serum selenium and selenoprotein-P levels in autoimmune thyroid diseases patients in a select center: a transversal study.

Archives of endocrinology and metabolism
OBJECTIVE: Selenium (Se) supplementation has been used to help prevent the progression of Graves' ophthalmopathy (GO) and autoimmune thyroid diseases (AITD) patients. We investigated Se serum and selenoprotein P (SePP) levels in Graves' disease (GD) ...