Evidence map›Paper›PMID 36872733›Full record

ArticleIndian journal of ophthalmology2023

Adoption, implementation, definitions, and future of blockchain technology in ophthalmology.

Bharat Gurnani, Kirandeep Kaur, Arvind Kumar Morya

Abstract read
In one paragraph

Article in Indian journal of ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
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

3 authors.

Bharat GurnaniDepartment of Cataract, Cornea, Trauma, External Disease. Ocular Surface and Refractive Services, Sadguru Netra Chikitsalya, Shri Sadguru Seva Sangh Trust, Janakikund, Chitrakoot, Madhya Pradesh, India.
Kirandeep KaurCataract, Pediatric Ophthalmology and Strabismus, Sadguru Netra Chikitsalya, Shri Sadguru Seva Sangh Trust, Janakikund, Chitrakoot, Madhya Pradesh, India.
Arvind Kumar MoryaDepartment of Ophthalmology, All India Institute of Medical Sciences, Bibinagar, Hyderabad, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this era of cutting-edge research and digitalization, artificial intelligence (AI) has rapidly penetrated all subspecialties, including ophthalmology. Managing AI data and analytics is cumbersome, and implementing blockchain technology has made this task less challenging. Blockchain technology is an advanced mechanism with a robust database that allows the unambiguous sharing of widespread information within a business model or network. The data is stored in blocks that are linked together in chains. Since its inception in 2008, blockchain technology has grown over the years, and its novel use in ophthalmology has been less well documented. This section on current ophthalmology discusses the novel use and future of blockchain technology for intraocular lens power calculation and refractive surgery workup, ophthalmic genetics, payment methods, international data documentation, retinal images, global myopia pandemic, virtual pharmacy, and drug compliance and treatment. The authors have also provided valuable insights into various terminologies and definitions used in blockchain technology.

Indexed as

BlockchainOphthalmologyArtificial IntelligenceDocumentationEyeHumansArtificial intelligenceblockchain technologydatabaseIOL power calculationmyopia pandemic

Identifiers

PMID36872733
PMCPMC10229909

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

None linked

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 OpenQuestion graph.