A5062880407- Intraocular Surgery and Lenses
- Retinal Imaging and Analysis
- Ophthalmology and Visual Impairment Studies
- Glaucoma and retinal disorders
- Corneal surgery and disorders
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
- Connexins and lens biology
- Ocular Surface and Contact Lens
- Corneal Surgery and Treatments
- Artificial Intelligence in Healthcare and Education
- Ocular Diseases and Behçet’s Syndrome
- Ocular Infections and Treatments
- Retinal and Macular Surgery
- COVID-19 diagnosis using AI
- Ocular Disorders and Treatments
- Retinopathy of Prematurity Studies
- Retinal Development and Disorders
- Ophthalmology and Visual Health Research
- Digital Imaging for Blood Diseases
- Global Maternal and Child Health
- AI in cancer detection
- Healthcare Systems and Reforms
- Urban Green Space and Health
- Systemic Lupus Erythematosus Research
Sun Yat-sen University
2016-2025
Hainan Eye Hospital
2022-2025
Zhongshan Ophthalmic Center, Sun Yat-sen University
2008-2025
Chang Gung Memorial Hospital
2025
Linkou Chang Gung Memorial Hospital
2024
Northwestern Polytechnical University
2024
University of California, Berkeley
2024
Precision for Medicine (United States)
2023
Jimei University
2023
Tsinghua University
2023
CC-Cruiser is an artificial intelligence (AI) platform developed for diagnosing childhood cataracts and providing risk stratification treatment recommendations. The high accuracy of was previously validated using specific datasets. objective this study to compare the diagnostic efficacy decision-making capacity between ophthalmologists in real-world clinical settings.This multicentre randomized controlled trial performed five ophthalmic clinics different areas across China. Pediatric...
BackgroundBy 2050, almost 5 billion people globally are projected to have myopia, of whom 20% likely high myopia with clinically significant risk sight-threatening complications such as myopic macular degeneration. These diagnoses that typically require specialist assessment or measurement multiple unconnected pieces equipment. Artificial intelligence (AI) approaches might be effective for stratification and identify individuals at highest visual loss. However, unresolved challenges AI...
Background Electronic medical records provide large-scale real-world clinical data for use in developing decision systems. However, sophisticated methodology and analytical skills are required to handle the datasets necessary optimisation of prediction accuracy. Myopia is a common cause vision loss. Current approaches control myopia progression effective but have significant side effects. Therefore, identifying those at greatest risk who should undergo targeted therapy great importance. The...
Adolescent idiopathic scoliosis is the most common spinal disorder in adolescents with a prevalence of 0.5-5.2% worldwide. The traditional methods for screening are easily accessible but require unnecessary referrals and radiography exposure due to their low positive predictive values. application deep learning algorithms has potential reduce costs screening. Here, we developed validated automated using unclothed back images. accuracies were superior those human specialists detecting...
BackgroundMedical artificial intelligence (AI) has entered the clinical implementation phase, although real-world performance of deep-learning systems (DLSs) for screening fundus disease remains unsatisfactory. Our study aimed to train a clinically applicable DLS diseases using data derived from real world, and externally test model photographs collected prospectively settings in which would most likely be adopted.MethodsIn this national evidence study, we trained DLS, Comprehensive AI...
Slit-lamp images play an essential role for diagnosis of pediatric cataracts. We present a computer vision-based framework the automatic localization and slit-lamp by identifying lens region interest (ROI) employing deep learning convolutional neural network (CNN). First, three grading degrees are proposed in conjunction with leading ophthalmologists. The ROI is located automated manner original image using two successive applications Candy detection Hough transform, which cropped, resized...
Background Poor quality primary health care is a major issue in China, particularly blindness prevention. Artificial intelligence (AI) could provide early screening and accurate auxiliary diagnosis to improve services reduce unnecessary referrals, but the application of AI medical settings still an emerging field. Objective This study aimed investigate general public’s acceptance ophthalmic devices, with reference those already used interrelated influencing factors that shape people’s...
The advent of artificial intelligence (AI), big data, and the next-generation telecommunication network (5G) has generated enormous interest in digital health. Digital health comprises overlapping areas ranging from AI, internet things, electronic health, telehealth to analysis use data.1WHOWHO guideline: recommendations on interventions for system strengthening.https://www.who.int/reproductivehealth/publications/digital-interventions-health-system-strengthening/en/Date accessed: August 10,...
Retinal detachment can lead to severe visual loss if not treated timely. The early diagnosis of retinal improve the rate successful reattachment and results, especially before macular involvement. Manual screening is time-consuming labour-intensive, which difficult for large-scale clinical applications. In this study, we developed a cascaded deep learning system based on ultra-widefield fundus images automated detection macula-on/off discerning. performance reliable comparable an experienced...
Evaluating corneal morphologic characteristics with tomographic scans before refractive surgery is necessary to exclude patients at-risk corneas and keratoconus. In previous studies, researchers performed screening machine learning methods based on specific parameters. To date, a deep algorithm has not been used in combination scans.To examine the use of model candidates for surgery.A diagnostic, cross-sectional study was conducted at Zhongshan Ophthalmic Center, Guangzhou, China,...
Greenspace is known to have a positive impact on human health and well-being, but its potential effects visual acuity not been extensively studied.
Importance China has experienced both rapid urbanization and major increases in myopia prevalence. Previous studies suggest that green space exposure reduces the risk of myopia, but association between specific geometry distribution characteristics yet to be explored. These must understood craft effective interventions reduce myopia. Objective To evaluate associations morphology using novel quantitative data from high-resolution satellite imaging. Design, Setting, Participants This...