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1. Prediction model of ocular metastasis from primary liver cancer: Machine learning‐based development and interpretation study

2. Prediction Model of Ocular Metastases in Gastric Adenocarcinoma: Machine Learning-Based Development and Interpretation Study

3. Altered Regional Homogeneity in Patients With Congenital Blindness: A Resting-State Functional Magnetic Resonance Imaging Study

4. Retinal microvascular and microstructural alterations in the diagnosis of dermatomyositis: a new approach

5. Alterations in meibomian gland characteristics and tear film-related parameters in patients with threatened abortion: a new diagnostic index

7. Altered regional brain white matter in dry eye patients: a brain imaging study

8. Investigation of altered retinal microvasculature in female patients with rheumatoid arthritis: optical coherence tomography angiography detection.

10. Altered Intrinsic Brain Activity in Patients With Toothache Using the Percent Amplitude of a Fluctuation Method: A Resting-State fMRI Study

11. The Correlation Between Atmospheric Conditions and Clinical Dry Eye

12. Regional Homogeneity in Patients With Mild Cognitive Impairment: A Resting-State Functional Magnetic Resonance Imaging Study

13. Altered White Matter Integrity in Patients with Retinal Vein Occlusion: A Diffusion Tensor Imaging and Tract-Based Spatial Statistics Study

14. Hyperintensities of middle frontal gyrus in patients with diabetic optic neuropathy: a dynamic amplitude of low-frequency fluctuation study

16. Abnormal Intrinsic Functional Hubs in Corneal Ulcer: Evidence from a Voxel-Wise Degree Centrality Analysis

17. Effects of BmKNJX11, A Bioactive Polypeptide Purified from Buthus martensi Karsch, on Sodium Channels in Rat Dorsal Root Ganglion Neurons.

18. Microvascular alterations of the ocular surface and retina in connective tissue disease-related interstitial lung disease

19. Ocular microvascular alteration in patients with myocardial infarction—a new OCTA study

20. Retinal microvascular and microstructural alterations in the diagnosis of meibomian gland dysfunction in severely obese population: a new approach

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