Dynamic surgery video summarization with balancing informativeness and diversity.

Surgery video summarization can help medical professionals quickly gain the insight into the surgical process for the surgical education and skill evaluation. However, existing methods are unable to efficiently summarize information to satisfy medical professionals. Since it is challenging to summarize the video while balancing the information richness and diversity.

A causal relationship between circulating immune cells, plasma metabolites, and pulmonary diseases: a mediated Mendelian randomization study.

Background: Immune cells and plasma metabolites may play important roles in the development of pulmonary diseases, but the relationship between different immune cells, plasma metabolites and various pulmonary diseases is still unclear. In this study, we aim to employ Mendelian randomization (MR) to investigate the causality between immune cells, pulmonary diseases and plasma metabolites.

Methods: We analyzed immune cells and seven pulmonary diseases, including interstitial lung disease (ILD), idiopathic pulmonary fibrosis (IPF), lung cancer, pneumonia, chronic obstructive pulmonary disease (COPD), sleep apnea syndrome (SAS), and tuberculosis (TB), using genome-wide association analysis (GWAS) data for immune cells as an exposure factor and seven lung diseases as outcomes.

Glymphatic System Dysfunction in Thyroid Eye Disease Associated with Disease Activity and Duration.

Purpose: To investigate the alterations in the glymphatic system in patients with thyroid eye disease (TED) using diffusion tensor imaging (DTI) analysis along the perivascular space (ALPS) and to explore the correlation between the glymphatic system and clinical features of TED.

Methods: The study included 47 patients with TED, including 20 active TED patients (AP) and 27 inactive TED patients (IP), along with 24 healthy controls (HC). Imaging data including DTI sequence were acquired using a 3.

Artificial intelligence in thyroid eye disease imaging: A systematic review.

Thyroid eye disease (TED) is a common, complex orbital disorder characterized by soft-tissue changes visible on imaging. Artificial intelligence (AI) offers promises for improving TED diagnosis and treatment; however, no systematic review has yet characterized the research landscape, key challenges, and future directions. We followed PRISMA guidelines to search multiple databases until January, 2025, for studies applying AI to computed tomography (CT), magnetic resonance imaging, and nuclear, facial or retinal imaging in TED patients.

Effectiveness of intravenous glucocorticoids in active thyroid eye disease patients with low clinical activity scores.

Purpose: To assess and predict the therapeutic efficacy of intravenous glucocorticoids (IVGC) in thyroid eye disease (TED) patients with clinical activity score (CAS) < 3, but presenting magnetic resonance imaging (MRI)-confirmed intraorbital inflammation.

Methods: We retrospectively analyzed the clinical data of 91 active TED patients with low CAS that received IVGC treatment (4.5 g, 12 weeks).

Clinical Features of Chinese Patients with Thyroid Eye Disease: A Multicenter Retrospective Study.

Thyroid eye disease (TED) is a debilitating autoimmune disorder linked to thyroid dysfunction. There is limited knowledge of TED in Asian populations. This multicenter study characterizes the clinical features and treatment response of TED in a large Chinese cohort.

Integrating ocular and clinical features to enhance intravenous glucocorticoid response prediction in thyroid eye disease: a machine learning approach.

Purposes: Predicting intravenous glucocorticoid (IVGC) efficacy in thyroid eye disease (TED) is vital for personalized treatment and minimizing side effects. Current methods haven't fully utilized ocular features. This study aims to integrate ocular features into predictive model to assess their impact on improving IVGC efficacy prediction.

Comprehensive analysis of tuberculosis burden trends and attributable risk factors in the BRICS countries from 1990 to 2021, with forecasts for the next 15 years.

Background: The study was to elucidate a comprehensive view of the burden of TB from different dimensions.

Methods: Data were sourced from the GBD 2021. We provided a comprehensive overview of all relevant measures and the associated age-standardized rates per 100,000 (ASR) across BRICS countries.

AI-assisted facial analysis in healthcare: From disease detection to comprehensive management.

Medical conditions and systemic diseases often manifest as distinct facial characteristics, making identification of these unique features crucial for disease screening. However, detecting diseases using facial photography remains challenging because of the wide variability in human facial features and disease conditions. The integration of artificial intelligence (AI) into facial analysis represents a promising frontier offering a user-friendly, non-invasive, and cost-effective screening approach.

TOM500: A Multi-Organ Annotated Orbital MRI Dataset for Thyroid Eye Disease.

This study presents TOM500, a comprehensive multi-organ annotated orbital magnetic resonance imaging (MRI) dataset. It includes clinical data, T2-weighted MRI scans, and corresponding segmentations from 500 patients with thyroid eye disease (TED) during their initial visit. TED is a common autoimmune disorder with distinct orbital MRI features.

Investigating factors influencing quality of life in thyroid eye disease: insight from machine learning approaches.

Aims: Thyroid eye disease (TED) is an autoimmune orbital disorder that diminishes the quality of life (QOL) in affected individuals. Graves' ophthalmopathy (GO)-QOL questionnaire effectively assesses TED's effect on patients. This study aims to investigate the factors influencing visual functioning (QOL-VF) and physical appearance (QOL-AP) scores in Chinese TED patients using innovative data analysis methods.

Efficient strabismus diagnosis from small samples: Harnessing spatial features for improved accuracy.

Strabismus is a common ophthalmological condition, and early diagnosis is crucial to preventing visual impairment and loss of stereopsis. However, traditional methods for diagnosing strabismus often rely on specialized ophthalmic equipment and trained personnel, limiting the widespread accessibility of strabismus diagnosis. Computer-aided strabismus diagnosis is an effective and widely used technology that assists clinicians in making clinical diagnoses and improving efficiency.

Multi-Omics Approaches to Discover Biomarkers of Thyroid Eye Disease: A Systematic Review.

Thyroid eye disease (TED) is an organ-specific autoimmune disorder that significantly impacts patients' visual function, appearance, and well-being. Despite existing clinical evaluation methods, there remains a need for objective biomarkers to facilitate clinical management and pathogenesis investigation. Rapid advances in multi-omics technologies have enabled the discovery and development of more informative biomarkers for clinical use.

Neuroimaging in thyroid eye disease: A systematic review.

Thyroid eye disease (TED) is an organ-specific autoimmune disease secondary largely to hyperthyroid Graves' disease, which profoundly affects patients' visual function, appearance, and physical and mental well-being. Emerging neuroimaging studies have reported alterations in the brains of patients with TED, suggesting that the impact of this autoimmune disease may extend beyond the orbit. This systematic review aims to consolidate the neuroimaging evidence that describes the brain alterations of TED.

Research progress of optic nerve imaging during 1991-2023: a bibliometric analysis.

Background: Optic nerve imaging is crucial for diagnosing and understanding optic neuropathies because it provides detailed visualization of the nerve's structure and pathologies through advanced modalities. This study conducted a bibliometric analysis within the field of optic nerve imaging, aiming to pinpoint the latest research trends and focal points in optic nerve imaging.

Methods: The core literature on optic nerve imaging published between January 1991 and August 2023 was retrieved from the Web of Science Core Collection.

Integrated Optical Waveguide Electric Field Sensors Based on Bismuth Germanate.

Bismuth germanate (BiGeO, BGO) is a widely used optical sensing material with a high electro-optic coefficient, ideal for optical electric field sensors. Achieving high precision in electric field sensing requires fabricating optical waveguides on BGO. Traditional waveguide writing methods face challenges with this material.

Prediction models of intravenous glucocorticoids therapy response in thyroid eye disease.

Background: Thyroid eye disease (TED) is an autoimmune orbital disease, with intravenous glucocorticoid (IVGC) therapy as the first-line treatment. Due to uncertain response rates and possible side effects, various prediction models have been developed to predict IVGC therapy outcomes.

Methods: A thorough search was conducted in PubMed, Embase, and Web of Science databases.

Radiomics in ophthalmology: a systematic review.

Background: Radiomics holds great potential in medical image analysis for various ophthalmic diseases. In recent times, there have been numerous endeavors in this area of research. This systematic review aims to provide a comprehensive assessment of the strengths and limitations of radiomics in ophthalmology.

Optic nerve compression associated with visual cortex functional alteration in dysthyroid optic neuropathy: A combined orbital and brain imaging study.

Aims: To investigate the alterations of the optic nerve and visual cortex in dysthyroid optic neuropathy (DON), a subgroup of thyroid eye disease (TED).

Methods: Multiple orbital imaging biomarkers related to optic nerve compression and the amplitude of low-frequency fluctuations (ALFF) of the brain were obtained from 47 patients with DON, 56 TED patients without DON (nDON), and 37 healthy controls (HC). Correlation analyses and diagnostic tests were implemented.

The Clinical Intervention Effects of Evidence-based Nursing Measures in General Anesthesia Patients in the Postoperative Recovery Period.

Objective: This work investigated the clinical intervention effect of evidence-based nursing (EBN) measures for patients in the recovery stage after general anesthesia (GA), aiming to provide a nursing reference for patients in the recovery stage after surgery.

Methods: The enrolled participants were 102 patients who underwent surgical treatment in our hospital from December 2021 to December 2022. According to the principle of randomized control, they were enrolled into an observation group (51 cases, Obs group) and a control group (51, cases, Ctrl group), and the general nursing methods and EBN measures were respectively implemented.

Whole-orbit-based multiparametric assessment of disease activity of thyroid eye disease on Dixon MRI.

Purpose: This study aimed to explore the diagnostic value of whole-orbit-based multiparametric assessment on Dixon MRI for the evaluation of the thyroid eye disease (TED) activity.

Methods: The retrospective study enrolled patients diagnosed as TED and obtained their axial and coronal Dixon MRI scans. Multiparameters were assessed, including water fraction (WF), fat fraction (FF) of extraocular muscles (EOMs), orbital fat (OF), and lacrimal gland (LG).