Predicting the Degree of Coronary Artery Stenosis Through Retinal Vascular Characteristics and Minimal Clinical Information by Zhang G, Ding Y, Ma T, Zhou S, Wang B, Chang X, Zeng Y

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FundusNet: A Deep-Learning Approach for Fast Diagnosis of Neurodegenerative and Eye Diseases Using Fundus Images by Wenxing Hu, Kejie Li, Jake Gagnon, Ye Wang, Talia Raney, Jeron Chen, Yirui Chen, Yoko Okunuki, Will Chen, Baohong Zhang

Subjects: “…fundus…”
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Integrating electrocardiogram and fundus images for early detection of cardiovascular diseases by K. A. Muthukumar, Dhruva Nandi, Priya Ranjan, Krithika Ramachandran, Shiny PJ, Anirban Ghosh, Ashwini M, Aiswaryah Radhakrishnan, V. E. Dhandapani, Rajiv Janardhanan

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The consistency and efficacy of optical coherence tomography for the evaluation of ocular torsion angle in children by Rongjun Liu, Jingjing Zhao, Kaili Yu, Dehai Zhu

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Correlation of cytokine storm with ocular fundus abnormalities in critically ill patients with severe viral pneumonia by Yun Yu, Yun-jiao Zhao, Qi-hang Zhou, Xiao-yin Zhou, Yu-qing Lan, Hai-jun Gong

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A comprehensive review on early detection of drusen patterns in age-related macular degeneration using deep learning models by Kiruthika M, Malathi G

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The prevalence and 6-year incidence of myopic tessellation in a Chinese rural adult population: the Handan Eye Study by Caixia Lin, Jian Wu, Kai Cao, Bingsong Wang, Yuxin Fang, Ohno-Matsui Kyoko, Yunyun Sun, Jie Hao, Lixia Ma, Ye Zhang, Qing Zhang, Ningli Wang, the Handan Eye Study Group

Subjects: “…Fundus tessellation…”
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Fundus Images-Based Detection and Grading of Macular Edema Using Robust Macula Localization by Adeel M. Syed, M. Usman Akram, Tahir Akram, Muhammad Muzammal, Shehzad Khalid, Muazzam Ahmed Khan

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Indocyanine green fluorescence improves safety in laparoscopic cholecystectomy using the Fundus First technique: a retrospective study by Susanna Haverinen, Susanna Haverinen, Evelina Pajus, Gabriel Sandblom, Gabriel Sandblom, Yücel Cengiz, Yücel Cengiz

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A pilot study on diabetes detection using handheld fundus camera and mobile app development by Hamada R. H. Al-Absi, Gilbert Njihia Muchori, Saleh Musleh, Syed Abdullah Basit, Mohammad Tariqul Islam, Younss Ait Mou, Tanvir Alam

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Automatic Detection and Classification of Eye Diseases from Retinal Images Using Deep Learning: A Comprehensive Research on the ODIR Dataset by Asadi Srinivasulu, Clement Varaprasad Karu, G Sreenivasulu, Gayathri R

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External Validation of Deep Learning Models for Classifying Etiology of Retinal Hemorrhage Using Diverse Fundus Photography Datasets by Pooya Khosravi, Nolan A. Huck, Kourosh Shahraki, Elina Ghafari, Reza Azimi, So Young Kim, Eric Crouch, Xiaohui Xie, Donny W. Suh

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Digital fundus image quality assessment by V. V. Starovoitov, Y. I. Golub, M. M. Lukashevich

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Retinal assessment in 143 patients with white matter lesions: the potential of OCTA as an evaluation tool by Dong Zhang, Xueying Jiang, Yan Zhang, Jingcui Qin

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Comparative analysis of retinal vascular structural parameters in populations with different glucose metabolism status based on color fundus photography and artificial intelligence by Naimei Chen, Naimei Chen, Zhentao Zhu, Di Gong, Xinrong Xu, Xinya Hu, Weihua Yang

Subjects: “…color fundus photography…”
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Sandpiper Optimization Algorithm With Region Growing Based Robust Retinal Blood Vessel Segmentation Approach by Ibrahim AlMohimeed, Mohamed Yacin Sikkandar, A. Mohanarathinam, Velmurugan Subbiah Parvathy, Mohamad Khairi Ishak, Faten Khalid Karim, Samih M. Mostafa

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Fundus camera-based precision monitoring of blood vitamin A level for Wagyu cattle using deep learning by Nanding Li, Naoshi Kondo, Yuichi Ogawa, Keiichiro Shiraga, Mizuki Shibasaki, Daniele Pinna, Moriyuki Fukushima, Shinichi Nagaoka, Tateshi Fujiura, Xuehong De, Tetsuhito Suzuki

Subjects: “…Fundus imaging…”
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Application of artificial intelligence in ophthalmology for solving the problem of semantic segmentation of fundus images by N.S. Demin, N.Y. Ilyasova, R.A. Paringer, D.V. Kirsh

Subjects: “…fundus image…”
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Screening for diabetic retinopathy at a health centre in South Africa: A cross-sectional study by Ntokozo Zulu, Patrick Ngassa Piotie, Elizabeth M. Webb, Wezi G. Maphenduka, Steve Cook, Paul Rheeder

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Predicting branch retinal vein occlusion development using multimodal deep learning and pre-onset fundus hemisection images by Eun Young Choi, Dongyoung Kim, Jinyeong Kim, Eunjin Kim, Hyunseo Lee, Jinyoung Yeo, Tae Keun Yoo, Min Kim

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