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AIM: To summarize the application of deep learning in detecting ophthalmic disease with ultrawide-field fundus images and analyze the advantages, limitations, and possible solutions common to all tasks. METHODS: We searched three academic databases, including PubMed, Web of Science, and Ovid, with the date of August 2022. We matched and screened according to the target keywords and publication year and retrieved a total of 4358 research papers according to the keywords, of which 23 studies were retrieved on applying deep learning in diagnosing ophthalmic disease with ultrawide-field images. RESULTS: Deep learning in ultrawide-field images can detect various ophthalmic diseases and achieve great performance, including diabetic retinopathy, glaucoma, age-related macular degeneration, retinal vein occlusions, retinal detachment, and other peripheral retinal diseases. Compared to fundus images, the ultrawide-field fundus scanning laser ophthalmoscopy enables the capture of the ocular fundus up to 200° in a single exposure, which can observe more areas of the retina. CONCLUSION: The combination of ultrawide-field fundus images and artificial intelligence will achieve great performance in diagnosing multiple ophthalmic diseases in the future.
RESUMO
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a multicomponent disorder characterized by inflammation, representing a significant leading cause of chronic morbidity and mortality. Reports have implicated hydrogen sulfide (H2S) in both the pathology and treatment of COPD. The present study aimed to explore the effects involved with exogenous H2S on endoplasmic reticulum stress (ERS) and pulmonary artery endothelial cells (PAECs) in a rat model of COPD. METHODS: Rat models of COPD were successfully established by means of passive smoke exposure and intratracheal injection with lipopolysaccharide (LPS). Pulmonary function tests were performed and histopathological changes were observed. The expression of ERS markers, glucose-regulated protein-78 (GRP78), and C/EBP homologous protein (CHOP) and caspase-12, associated with ERS-induced apoptosis, were determined by western blot and immunohistochemistry methods. TUNEL assay was applied to determine the apoptosis index (AI) in PAECs. RESULTS: Treatment with NaHS was followed by the exhibition of markedly increased forced expiratory volume over 0.3â¯s (FEV0.3)/forced vital capacity (FVC) and dynamic lung compliance as well as integral optical density (IOD), with decreased RI among COPD rats. Western blot analysis, immunohistochemistry and TUNEL assay results revealed there to be reduced expressions of GRP78, CHOP and caspase-12 in the lung tissues and AI of PAECs, post NaHS treatment. CONCLUSION: The key findings of the current study highlight ERS in COPD rats, as well as well as reduced apoptosis in PAECs in connection with exogenous H2S by suppressing ERS.
