Evidence map›Paper›PMID 32898686›Full record

ReviewProgress in retinal and eye research2021

Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective.

Ji-Peng Olivia Li, Hanruo Liu, Darren S J Ting, Sohee Jeon, R V Paul Chan, Judy E Kim, Dawn A Sim, Peter B M Thomas, Haotian Lin, Youxin Chen and 7 more

2 registry-linked trialsAbstract readReview
In one paragraph

Review in Progress in retinal and eye research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 250 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
250citing papers in PubMed, 7 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04670692 nacompletednot on this map

Feasibility of Remote Magnetically Controlled Capsule Endoscopy for Upper Gastrointestinal Tract Examination Under Five-generation Network: a Prospective, Open-label, Pilot Trial

TypeinterventionalSponsorChanghai HospitalRan2020 to 2021Enrolled40ConditionsGastrointestinal DiseaseArms5G-MCE examination, MCE examination
NCT05765331 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Evaluating the Effectiveness of Chatbot-Based Intervention on Enhancing Self-management and Decision Self-efficacy Among Men Having Lower Urinary Tract Symptoms With or Without Erectile Dysfunction in the Post COVID-19 Era

TypeinterventionalSponsorCheng-Hsin General HospitalRan2023 to 2023Enrolled100ConditionsBenign Prostate Enlargement, Lower Urinary Tract Symptoms, Erectile DysfunctionArmsChatbot
3 · Its place in the literature

Who cites it

250 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  5. Pooled it
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  8. Trial
  9. Manhattan Vision Screening and Follow-Up Study: (NYC-SIGHT)Tele-Retinal Image Findings and Importance of Photography.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
    Trial
  10. Trial
  11. Trial
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Stakeholder Perspectives of Implementation Barriers of Artificial Intelligence in Eye Care: A qualitative framework-based study.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Article
  18. Article
  19. Article
  20. Review

190 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Ji-Peng Olivia LiMoorfields Eye Hospital NHS Foundation Trust, London, United Kingdom.
Hanruo LiuBeijing Tongren Hospital; Capital Medical University; Beijing Institute of Ophthalmology; Beijing, China.
Darren S J TingAcademic Ophthalmology, University of Nottingham, United Kingdom.
Sohee JeonKeye Eye Center, Seoul, Republic of Korea.
R V Paul ChanUniversity of Illinois Chicago, Chicago, USA.
Judy E KimMedical College of Wisconsin, Milwaukee, WI, USA.
Dawn A SimNIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom.
Peter B M ThomasNIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom.
Haotian LinZhongshan Ophthalmic Center, State Key Laboratory of Ophthalmology, Guangzhou, China.
Youxin ChenPeking Union Medical College Hospital, Beijing, China.
Taiji SakomotoDepartment of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Japan.
Anat LoewensteinDepartment of Ophthalmology, Tel Aviv Medical Centre, Israel.
Dennis S C LamC-MER Dennis Lam Eye Center, C-Mer International Eye Care Group Limited, Hong Kong, Hong Kong; International Eye Research Institute of the Chinese University of Hong Kong (Shenzhen), Shenzhen, China.
Louis R PasqualeDepartment of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, USA.
Tien Y WongSingapore National Eye Center, Duke-NUS Medical School Singapore, Singapore.
Linda A LamUSC Roski Eye Institute, University of Southern California (USC) Keck School of Medicine, Los Angeles, CA, USA.
Daniel S W TingSingapore National Eye Center, Duke-NUS Medical School Singapore, Singapore. Electronic address: daniel.ting.s.w@singhealth.com.sg.

Funding

Medical Research Council MR/T001674/1
6 · The paper itself

Abstract

The simultaneous maturation of multiple digital and telecommunications technologies in 2020 has created an unprecedented opportunity for ophthalmology to adapt to new models of care using tele-health supported by digital innovations. These digital innovations include artificial intelligence (AI), 5th generation (5G) telecommunication networks and the Internet of Things (IoT), creating an inter-dependent ecosystem offering opportunities to develop new models of eye care addressing the challenges of COVID-19 and beyond. Ophthalmology has thrived in some of these areas partly due to its many image-based investigations. Tele-health and AI provide synchronous solutions to challenges facing ophthalmologists and healthcare providers worldwide. This article reviews how countries across the world have utilised these digital innovations to tackle diabetic retinopathy, retinopathy of prematurity, age-related macular degeneration, glaucoma, refractive error correction, cataract and other anterior segment disorders. The review summarises the digital strategies that countries are developing and discusses technologies that may increasingly enter the clinical workflow and processes of ophthalmologists. Furthermore as countries around the world have initiated a series of escalating containment and mitigation measures during the COVID-19 pandemic, the delivery of eye care services globally has been significantly impacted. As ophthalmic services adapt and form a "new normal", the rapid adoption of some of telehealth and digital innovation during the pandemic is also discussed. Finally, challenges for validation and clinical implementation are considered, as well as recommendations on future directions.

Indexed as

Artificial IntelligenceCOVID-19Delivery of Health CareDigital TechnologyEye DiseasesGlobal HealthHumansInventionsOphthalmologySARS-CoV-2TelemedicineArtificial intelligenceCOVID-19Deep learningDiabetic retinopathy screeningDigital innovationsDigital technologyDigital transformationTelemedicineTele-ophthalmologyTele-screening

Identifiers

PMID32898686
PMCPMC7474840

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.