Ophthalmology

Articles published in 2021 in this theme: 11 (scroll down to load remaining articles)

2021

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Machine Learning Algorithms to Detect Subclinical Keratoconus: Systematic Review

Howard Maile, Ji-Peng Olivia Li, Daniel Gore, Marcello Leucci, Padraig Mulholland, Scott Hau, Anita Szabo, Ismail Moghul, Konstantinos Balaskas, Kaoru Fujinami, Pirro Hysi, Alice Davidson, Petra Liskova, Alison Hardcastle, Stephen Tuft, Nikolas Pontikos

JMIR Med Inform 2021 (Dec 13); 9(12):e27363

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Effect of Door-to-Door Screening and Awareness Generation Activities in the Catchment Areas of Vision Centers on Service Use: Protocol for a Randomized Experimental Study

Shalinder Sabherwal, Anand Chinnakaran, Ishaana Sood, Gaurav K Garg, Birendra P Singh, Rajan Shukla, Priya A Reddy, Suzanne Gilbert, Ken Bassett, Gudlavalleti V S Murthy, Operational Research Capacity Building Study Group

JMIR Res Protoc 2021 (Nov 04); 10(11):e31951

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Improving the Follow-up Rate for Pediatric Patients (0-16 years) of an Eye Hospital in Nepal: Protocol for a Public Health Intervention Study

Manisha Shrestha, Gopal Bhandari, Suresh Kumar Rathi, Anirudh Gaurang Gudlavalleti, Binod Pandey, Ramesh Ghimire, Daman Ale, Sajani Kayastha, Daya Shankar Chaudhary, Raghunandan Byanju, Operational Research Capacity Building Study Group

JMIR Res Protoc 2021 (Oct 08); 10(10):e31578

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Overview of Graves Ophthalmopathy Literature From 1999 to 2019: Bibliometric Analysis

Jiamin Cao, Nuo Wang, Shiying Hou, Xin Qi, Yu Chen, Wei Xiong

Interact J Med Res 2021 (Sep 28); 10(3):e24831

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Accuracy of Using Generative Adversarial Networks for Glaucoma Detection: Systematic Review and Bibliometric Analysis

Ali Q Saeed, Siti Norul Huda Sheikh Abdullah, Jemaima Che-Hamzah, Ahmad Tarmizi Abdul Ghani

J Med Internet Res 2021 (Sep 21); 23(9):e27414

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Acceptance of a Smartphone-Based Visual Field Screening Platform for Glaucoma: Pre-Post Study

Esmael Kedir Nida, Sisay Bekele, Luc Geurts, Vero Vanden Abeele

JMIR Form Res 2021 (Sep 17); 5(9):e26602

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Application of an Anomaly Detection Model to Screen for Ocular Diseases Using Color Retinal Fundus Images: Design and Evaluation Study

Yong Han, Weiming Li, Mengmeng Liu, Zhiyuan Wu, Feng Zhang, Xiangtong Liu, Lixin Tao, Xia Li, Xiuhua Guo

J Med Internet Res 2021 (Jul 13); 23(7):e27822

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A Multimodal Imaging–Based Deep Learning Model for Detecting Treatment-Requiring Retinal Vascular Diseases: Model Development and Validation Study

Eugene Yu-Chuan Kang, Ling Yeung, Yi-Lun Lee, Cheng-Hsiu Wu, Shu-Yen Peng, Yueh-Peng Chen, Quan-Ze Gao, Chihung Lin, Chang-Fu Kuo, Chi-Chun Lai

JMIR Med Inform 2021 (May 31); 9(5):e28868

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Determination of Patient Sentiment and Emotion in Ophthalmology: Infoveillance Tutorial on Web-Based Health Forum Discussions

Anne Xuan-Lan Nguyen, Xuan-Vi Trinh, Sophia Y Wang, Albert Y Wu

J Med Internet Res 2021 (May 17); 23(5):e20803

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Design Guidelines of a Computer-Based Intervention for Computer Vision Syndrome: Focus Group Study and Real-World Deployment

Youjin Hwang, Donghoon Shin, Jinsu Eun, Bongwon Suh, Joonhwan Lee

J Med Internet Res 2021 (Mar 29); 23(3):e22099

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Diagnostic Accuracy of Detecting Diabetic Retinopathy by Using Digital Fundus Photographs in the Peripheral Health Facilities of Bangladesh: Validation Study

Tahmina Begum, Aminur Rahman, Dilruba Nomani, Abdullah Mamun, Alayne Adams, Shafiqul Islam, Zara Khair, Zareen Khair, Iqbal Anwar

JMIR Public Health Surveill 2021 (Mar 09); 7(3):e23538

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