Evidence map›Paper›PMID 38560333›Full record

ArticleClinical ophthalmology (Auckland, N.Z.)2024

Comparison of Machine and Human Expert Evaluation of Capsulorrhexis Creation Performance Through Analysis of Surgical Video Recordings.

Anvesh Annadanam, Ethan Kahana, Chris Andrews, Alexa R Thibodeau, Shahzad I Mian, Bradford L Tannen, Nambi Nallasamy

Abstract read
In one paragraph

Article in Clinical ophthalmology (Auckland, N.Z.), 2024. 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. Article
  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

7 authors.

Anvesh AnnadanamDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0001-6910-7584
Ethan KahanaDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA.
Chris AndrewsDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA.
Alexa R ThibodeauDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA.
Shahzad I MianDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA.
Bradford L TannenDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA.
Nambi NallasamyDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0001-7501-7198

Funding

Building Non-Communicable Eye Disease Research Capacity in IndiaD43TW012027 · FIC · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI EHRLICH, JOSHUA ROBERT · 2021 to 2025
$1.2M
FIC NIH HHS D43 TW012027
6 · The paper itself

Abstract

Purpose: Achieving competency in cataract surgery is an essential component of ophthalmology residency training. Video-based analysis of surgery can change training through its objective, reliable, and timely assessment of resident performance. Methods: Using the Image Labeler application in MATLAB, the capsulorrhexis step of 208 surgical videos, recorded at the University of Michigan, was annotated for subjective and objective analysis. Two expert surgeons graded the creation of the capsulorrhexis based on the International Council of Ophthalmology's Ophthalmology Surgical Competency Assessment Rubric:Phacoemulsification (ICO-OSCAR:phaco) rating scale and a custom rubric (eccentricity, roundness, size, centration) that focuses on the objective aspects of this step. The annotated rhexis frames were run through an automated analysis to obtain objective scores for these components. The subjective scores were compared using both intra and inter-rater analyses to assess the consistency of a human-graded scale. The subjective and objective scores were compared using intraclass correlation methods to determine relative agreement. Results: All rhexes were graded as 4/5 or 5/5 by both raters for both items 4 and 5 of the ICO-OSCAR:phaco rating scale. Only roundness scores were statistically different between the subjective graders (mean difference = -0.149, p-value = 0.0023). Subjective scores were highly correlated for all components (>0.6). Correlations between objective and subjective scores were low (0.09 to 0.39). Conclusion: Video-based analysis of cataract surgery presents significant opportunities, including the ability to asynchronously evaluate performance and provide longitudinal assessment. Subjective scoring between two raters was moderately correlated for each component.

Indexed as

artificial intelligencecapsulorrhexiscataract surgerysurgical training

Identifiers

PMID38560333
PMCPMC10981893

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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.