Research graph
References from Clinical applications of artificial intelligence in myopia: beyond algorithms to real-world implementation. Local targets link to admitted publications; unresolved targets remain external evidence.
Global prevalence of visual impairment associated with myopic macular degeneration and temporal trends from 2000 through 2050: systematic review, meta-analysis and modelling
10.1136/bjophthalmol-2017-311266 · 2018 · External reference
Global prevalence of myopia and high myopia and temporal trends from 2000 through 2050
10.1016/j.ophtha.2016.01.006 · 2016 · External reference
IMI impact of myopia
10.1167/iovs.62.5.2 · 2021 · External reference
The Lancet Global Health Commission on Global Eye Health: vision beyond
10.1016/s2214-109x(20)30488-5 · 2021 · External reference
10.1002/ped4.70001 · 2025 · Admitted local publication
Artificial intelligence in myopia in children: current trends and future directions
10.1097/icu.0000000000001086 · 2024 · External reference
Applications of artificial intelligence in myopia: current and future directions
10.3389/fmed.2022.840498 · 2022 · External reference
Deep learning prediction of childhood myopia progression using fundus image and refraction data
10.1001/jamanetworkopen.2025.53543 · 2026 · External reference
Accurate prediction of myopic progression and high myopia by machine learning
10.1093/pcmedi/pbae005 · 2024 · External reference
Diagnosing pathologic myopia by identifying morphologic patterns using ultra widefield images with deep learning
10.1038/s41746-025-01849-y · 2025 · External reference
A deep learning system for myopia onset prediction and intervention effectiveness evaluation in children
10.1038/s41746-024-01204-7 · 2024 · External reference
Machine learning-based nomogram to predict poor response to overnight orthokeratology in Chinese myopic children: a multicentre, retrospective study
10.1111/aos.16678 · 2025 · External reference
Role of artificial intelligence in optical coherence tomography in myopia and pathological myopia
10.4103/tjo.tjo-d-25-00093 · 2026 · External reference
Key challenges for delivering clinical impact with artificial intelligence
10.1186/s12916-019-1426-2 · 2019 · External reference
The practical implementation of artificial intelligence technologies in medicine
10.1038/s41591-018-0307-0 · 2019 · External reference
10.1038/s41746-018-0040-6 · 2018 · Admitted local publication
Digital technologies in enhancing hierarchical vision health management for the next 1000 days of children's life: multicomponent economic evaluation
2025 · External reference
AI-guided personalized predictions on myopia progression and interventions
10.1038/s41746-025-02308-4 · 2026 · External reference
Effective automatic classification methods via deep learning for myopic maculopathy
10.3389/fmed.2024.1492808 · 2024 · External reference
National use of artificial intelligence for eye screening in Singapore
10.1056/aics2400404 · 2024 · External reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
10.1136/bmj-2024-082505 · 2025 · External reference
The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence
10.1038/s41591-025-03953-8 · 2025 · External reference
Shaping the future of myopia with artificial intelligence: mapping trends and promising directions
10.1016/j.aopr.2025.07.004 · 2025 · External reference
Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study
10.1016/s2589-7500(21)00055-8 · 2021 · External reference
Developing a privacy-preserving deep learning model for glaucoma detection: a multicentre study with federated learning
10.1136/bjo-2023-324188 · 2024 · External reference
Artificial Intelligence-Based Software as a Medical Device (AI-SaMD): a systematic review
10.3390/healthcare13070817 · 2025 · External reference
Pivotal evaluation of an artificial intelligence system for autonomous detection of referrable and vision-threatening diabetic retinopathy
10.1001/jamanetworkopen.2021.34254 · 2021 · External reference
Autonomous artificial intelligence in diabetic retinopathy testing-lessons learned on successful health system adoption
10.1016/j.xops.2025.100935 · 2026 · External reference
The 2021 landscape of FDA-approved artificial intelligence/machine learning-enabled medical devices: an analysis of the characteristics and intended use
10.1016/j.ijmedinf.2022.104828 · 2022 · External reference
Law and order of modern ophthalmology: teleophthalmology, smartphones legal and ethics
10.1177/1120672120934405 · 2021 · External reference
Are current tort liability doctrines adequate for addressing injury caused by AI?
10.1001/amajethics.2019.160 · 2019 · External reference
Reducing the global burden of myopia by delaying the onset of myopia and reducing myopic progression in children: the Academy's Task Force on Myopia
10.1016/j.ophtha.2020.10.040 · 2021 · External reference
Economic evaluation for medical artificial intelligence: accuracy vs. cost-effectiveness in a diabetic retinopathy screening case
10.1038/s41746-024-01032-9 · 2024 · External reference
Cost-effectiveness of AI for pediatric diabetic eye exams from a health system perspective
10.1038/s41746-024-01382-4 · 2025 · External reference
A systematic review of economic evaluation of artificial intelligence-based screening for eye diseases: from possibility to reality
10.1016/j.survophthal.2024.03.008 · 2024 · External reference
Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study
10.1016/s2589-7500(20)30060-1 · 2020 · External reference
Implementing a digital comprehensive myopia prevention and control strategy for children and adolescents in China: a cost-effectiveness analysis
2023 · External reference
Artificial intelligence and deep learning in ophthalmology: current status and future perspectives
10.1016/j.aopr.2022.100078 · 2022 · External reference
Effective refractive error coverage and spectacle coverage among school children in Telangana
10.1038/s41433-024-02986-6 · 2024 · External reference
Systematic review of cost effectiveness and budget impact of artificial intelligence in healthcare
10.1038/s41746-025-01722-y · 2025 · External reference
A reimbursement framework for artificial intelligence in healthcare
10.1038/s41746-022-00621-w · 2022 · External reference
Catalyzing health AI by fixing payment systems
10.1056/aipc2500871 · 2025 · External reference
