Evidence map›Paper›PMID 39148579›Full record

ArticleJournal of vitreoretinal diseases

American Society of Retina Specialists Artificial Intelligence Task Force Report.

Katherine E Talcott, Sally L Baxter, Dinah K Chen, Edward Korot, Aaron Lee, Judy E Kim, Yasha Modi, Darius M Moshfeghi, Rishi P Singh

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of vitreoretinal diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Katherine E TalcottCenter for Ophthalmic Bioinformatics, Cole Eye Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
Sally L BaxterDivision of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, CA, USA.
Dinah K ChenDepartment of Ophthalmology, NYU Grossman School of Medicine, New York University, NY, USA.
Edward KorotRetina Specialists of Michigan, Grand Rapids, MI, USA.
Aaron LeeRoger and Angie Karalis Johnson Retina Center, Department of Ophthalmology, School of Medicine, University of Washington, Seattle, WA, USA.
Judy E KimDepartment of Ophthalmology and Visual Sciences, Medical College of Wisconsin, Milwaukee, WI, USA.
Yasha ModiDepartment of Ophthalmology, NYU Grossman School of Medicine, New York University, NY, USA.
Darius M MoshfeghiHorngren Family Vitreoretinal Center, Byers Eye Institute, Department of Ophthalmology, Stanford University School of Medicine, Palo Alto, CA, USA.
Rishi P SinghCenter for Ophthalmic Bioinformatics, Cole Eye Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.

Funding

San Diego Biomedical Informatics Education & Research (SABER)T15LM011271 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHAMIM NEMATI · 2012 to 2026
$9.7M
NLM NIH HHS T15 LM011271
6 · The paper itself

Abstract

Since the Artificial Intelligence Committee of the American Society of Retina Specialists developed the initial task force report in 2020, the artificial intelligence (AI) field has seen further adoption of US Food and Drug Administration-approved AI platforms and significant development of AI for various retinal conditions. With expansion of this technology comes further areas of challenges, including the data sources used in AI, the democracy of AI, commercialization, bias, and the need for provider education on the technology of AI. The overall focus of this committee report is to explore these recent issues as they relate to the continued development of AI and its integration into ophthalmology and retinal practice.

Indexed as

artificial intelligencebiascommercializationdata sourcesdeep learningdiabetic retinopathyeducationfundus photographsoptical coherence tomographyretina

Identifiers

PMID39148579
PMCPMC11323512

What Socratic holds

Textmetadata
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.