Evidence map›Paper›PMID 36748062›Full record

ArticleOphthalmology science2023

A Platform for Tracking Surgeon and Observer Gaze as a Surrogate for Attention in Ophthalmic Surgery.

Rogerio G Nespolo, Emily Cole, Daniel Wang, Darvin Yi, Yannek I Leiderman

Abstract read
In one paragraph

Article in Ophthalmology science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Rogerio G NespoloDepartment of Ophthalmology and Visual Sciences - Illinois Eye and Ear Infirmary, University of Illinois Chicago, Chicago, Illinois.
Emily ColeRichard and Loan Hill Department of Biomedical Engineering, University of Illinois Chicago, Chicago, Illinois.
Daniel WangRichard and Loan Hill Department of Biomedical Engineering, University of Illinois Chicago, Chicago, Illinois.
Darvin YiDepartment of Ophthalmology and Visual Sciences - Illinois Eye and Ear Infirmary, University of Illinois Chicago, Chicago, Illinois.
Yannek I LeidermanDepartment of Ophthalmology and Visual Sciences - Illinois Eye and Ear Infirmary, University of Illinois Chicago, Chicago, Illinois.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To develop and validate a platform that can extract eye gaze metrics from surgeons observing cataract and vitreoretinal procedures and to enable post hoc data analysis to assess potential discrepancies in eye movement behavior according to surgeon experience. Design: Experimental, prospective, single-center study. Participants: Eleven ophthalmic surgeons observing deidentified vitreoretinal and cataract surgical procedures performed at a single university-based medical center. Methods: An open-source platform was developed to extract gaze coordinates and metrics from ophthalmic surgeons via a computer vision algorithm in conjunction with a neural network to track and segment instruments and tissues, identifying areas of attention in the visual field of study subjects. Eleven surgeons provided validation data by watching videos of 6 heterogeneous vitreoretinal and cataract surgical phases. Main Outcome Measures: Accuracy and distance traveled by the eye gaze of participants and overlap of the participants' eye gaze with instruments and tissues while observing surgical procedures. Results: The platform demonstrated repeatability of > 94% when acquiring the eye gaze behavior of subjects. Attending ophthalmic surgeons and clinical fellows exhibited a lower overall cartesian distance traveled in comparison to resident physicians in ophthalmology ( Conclusions: The platform proved effective in extracting gaze metrics of ophthalmic surgeons. These preliminary data suggest that surgeon gaze behavior differs according to experience.

Indexed as

AOI, area of interestEye movement tracking of ophthalmic surgeonsIntraoperative gaze trackingSurgical skills assessment via artificial intelligence

Identifiers

PMID36748062
PMCPMC9898791

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.