Evidence map›Paper›PMID 39840199›Full record

ReviewCureus2024

Enhancing Ophthalmic Care: The Transformative Potential of Digital Twins in Healthcare.

Raphael G Banoub, Harshal Sanghvi, Gurnoor S Gill, Alfredo A Paredes, Harnaina K Bains, Anita Patel, Ankur Agarwal, Shailesh Gupta

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
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

8 authors.

Raphael G BanoubDepartment of Ophthalmology, Broward Health, Fort Lauderdale, USA.
Harshal SanghviDepartment of Technology and Clinical Trials, Advanced Research, Deerfield Beach, USA.
Gurnoor S GillDepartment of Medicine, Florida Atlantic University Charles E. Schmidt College of Medicine, Boca Raton, USA.
Alfredo A ParedesDepartment of Medicine, Florida Atlantic University Charles E. Schmidt College of Medicine, Boca Raton, USA.
Harnaina K BainsDepartment of Clinical Trials, Advanced Research, Deerfield Beach, USA.
Anita PatelDepartment of Ophthalmology, Florida Atlantic University Charles E. Schmidt College of Medicine, Boca Raton, USA.
Ankur AgarwalCollege of Electrical Engineering and Computer Science (CEECS), Florida Atlantic University, Boca Raton, USA.
Shailesh GuptaDepartment of Ophthalmology, Broward Health, Fort Lauderdale, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This literature review explores the emerging role of digital twin (DT) technology in ophthalmology, emphasizing its potential to revolutionize personalized medicine. DTs integrate diverse data sources, including genetic, environmental, and real-time patient data, to create dynamic, predictive models that enhance risk assessment, surgical planning, and postoperative care. The review highlights vital case studies demonstrating the application of DTs in improving the early detection and management of diseases such as glaucoma and age-related macular degeneration. While implementing DTs presents challenges, including data integration and privacy concerns, the potential benefits, such as improved patient outcomes and cost savings, position DTs as a valuable tool in the future of ophthalmic care. The review underscores the need for further research to address these challenges and fully realize the potential of DTs in clinical practice.

Indexed as

digital health technologydigital twinophthalmologysurgeryvirtual reality

Identifiers

PMID39840199
PMCPMC11750212

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.