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Published in 2023 at "Asia-Pacific Journal of Ophthalmology"
DOI: 10.1097/apo.0000000000000599
Abstract: Purpose: To establish a multilabel-based deep learning (DL) algorithm for automatic detection and categorization of clinically significant peripheral retinal lesions using ultrawide-field fundus images. Methods: A total of 5958 ultrawide-field fundus images from 3740 patients… read more here.
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Published in 2021 at "Retina"
DOI: 10.1097/iae.0000000000003358
Abstract: This study quantified the retinal vascular bed area (RVBA) in mm2 on ultrawide field fluorescein angiography in eyes with proliferative diabetic retinopathy receiving anti-VEGF therapy. RVBA is to be a novel biomarker that may be… read more here.
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Published in 2022 at "Retina"
DOI: 10.1097/iae.0000000000003479
Abstract: Supplemental Digital Content is Available in the Text. In a multicenter observational study of participants with nonproliferative diabetic retinopathy without center-involved diabetic macular edema in at least one eye, increased retinal nonperfusion was found to… read more here.
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Published in 2024 at "Retina"
DOI: 10.1097/iae.0000000000004040
Abstract: Combined application of B-scan ultrasonography and eye-steering ultrawide field imaging improved the detection of retinal tears compared with B-scan ultrasonography or ultrawide field imaging alone. Performing comparably to indirect ophthalmoscopy, it may become a preferrable… read more here.
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Published in 2025 at "Retina"
DOI: 10.1097/iae.0000000000004510
Abstract: PURPOSE To study the distribution of lesions of diabetic retinopathy (DR), cotton wool spots (CWS) and scattered exudates on ultra-widefield images (UWFI) to better define DR phenotypes in Indians. METHODS This multicenter cross-sectional observational study… read more here.
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Published in 2018 at "Acta Ophthalmologica"
DOI: 10.1111/aos.13525
Abstract: To describe the characteristic retinal features of lipemia retinalis when using ultrawide field scanning laser ophthalmoscopy. read more here.
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Published in 2018 at "Journal of Ophthalmology"
DOI: 10.1155/2018/1875431
Abstract: The aim of this study is to assess the performance of two machine-learning technologies, namely, deep learning (DL) and support vector machine (SVM) algorithms, for detecting central retinal vein occlusion (CRVO) in ultrawide-field fundus images.… read more here.
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Published in 2018 at "Journal of Ophthalmology"
DOI: 10.1155/2018/2984934
Abstract: Purpose To present new clinical features, multimodal and ultrawide-field imaging characteristics of peripheral cone dystrophy (PCD), and results of laboratory and genetic investigation to decipher the etiology. Methods Retrospective observational case-series. Results Three patients with… read more here.
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Published in 2022 at "Frontiers in Medicine"
DOI: 10.3389/fmed.2022.834281
Abstract: Summary Ultrawide field fundus images could be applied in deep learning models to predict the refractive error of myopic patients. The predicted error was related to the older age and greater spherical power. Purpose To… read more here.
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Published in 2025 at "Frontiers in Medicine"
DOI: 10.3389/fmed.2025.1555380
Abstract: Purpose While deep learning (DL) has demonstrated significant utility in ocular diseases, no clinically validated algorithm currently exists for diagnosing neuromyelitis optica (NMO). This study aimed to develop a proof-of-concept multimodal artificial intelligence (AI) diagnostic… read more here.