References

Unresolved reference

2019 · External reference

Advancing healthcare AI governance through a comprehensive maturity model based on systematic review

10.1038/s41746-026-02418-7 · 2026 · External reference

Unresolved reference

2020 · External reference

Patterns of ophthalmological complaints presenting to a dedicated ophthalmic accident & emergency department: inappropriate use and patients’ perspective

10.1136/emj.2007.057604 · 2008 · External reference

The Lancet Global Health Commission on Global Eye Health: vision beyond 2020

10.1016/s2214-109x(20)30488-5 · 2021 · External reference

Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs

10.1001/jama.2016.17216 · 2016 · External reference

Artificial intelligence and deep learning in ophthalmology

10.1136/bjophthalmol-2018-313173 · 2019 · External reference

Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes

10.1001/jama.2017.18152 · 2017 · External reference

Clinically applicable deep learning for diagnosis and referral in retinal disease

10.1038/s41591-018-0107-6 · 2018 · External reference

Scoping studies: towards a methodological framework

10.1080/1364557032000119616 · 2005 · External reference

Advances in artificial intelligence ophthalmic nursing in China over a decade

10.3980/j.issn.1672-5123.2025.8.01 · 2025 · External reference

PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation

10.7326/m18-0850 · 2018 · External reference

Collaborative robot acting as scrub nurse for cataract surgery (CRASCS)

10.1007/s11701-024-02089-0 · 2024 · External reference

AI Chatbots vs. web-based learning in digital health: a randomized trial on improving dry eye syndrome knowledge for nursing students

10.1080/17538157.2025.2595015 · 2026 · External reference

A machine learning system to optimise triage in an adult ophthalmic emergency department: a model development and validation study

10.1016/j.eclinm.2023.102331 · 2023 · External reference

EE-Explorer: a multimodal artificial intelligence system for eye emergency triage and primary diagnosis

10.1016/j.ajo.2023.04.007 · 2023 · External reference

Usability of an artificially intelligence-powered triage platform for adult ophthalmic emergencies: a mixed methods study

10.1038/s41598-023-49213-y · 2023 · External reference

AR-AI assisted ophthalmic nursing: preliminary usability study in clinical settings

10.1177/20552076241269470 · 2024 · External reference

An empirical evaluation of the system usability scale

10.1080/10447310802205776 · 2008 · External reference

Intelligent verification tool for surgical information of ophthalmic patients: a study based on artificial intelligence technology

10.1097/pts.0000000000001295 · 2025 · External reference

Comparative assessment of diagnostic agreement between artificial intelligence and general practitioners in diabetic retinopathy screening using non-mydriatic fundus photography

10.1016/j.pcd.2026.04.007 · 2026 · External reference

Evaluating trustworthiness in AI-based diabetic retinopathy screening: addressing transparency, consent, and privacy challenges

10.1186/s12910-025-01265-7 · 2025 · External reference

Performance of the large language model ChatGPT on the national nurse examinations in Japan: evaluation study

10.2196/47305 · 2023 · External reference

Research trends in the application of artificial intelligence in nursing of chronic disease: a bibliometric and network visualization study

10.3389/fdgth.2025.1608266 · 2025 · External reference

Implementation of a new, mobile diabetic retinopathy screening model incorporating artificial intelligence in remote Western Australia

10.1111/ajr.70031 · 2025 · External reference

Imagenet classification with deep convolutional neural networks

10.1145/3065386 · 2017 · External reference

Is artificial intelligence ready for emergency department triage? A retrospective evaluation of multiple large language models in 39,375 patients at a university emergency department

10.3390/jcm15041512 · 2026 · External reference

Effects of immersive technology-based education for undergraduate nursing students: systematic review and meta-analysis using the grading of recommendations, assessment, development, and evaluation (GRADE) approach

10.2196/57566 · 2024 · External reference

10.1038/s41746-018-0040-6 · 2018 · Admitted local publication

Mapping human resources for eye health in 21 countries of sub-Saharan Africa: current progress towards VISION 2020

10.1186/1478-4491-12-44 · 2014 · External reference