Evidence map›Paper›PMID 42510493›Full record

ArticleBioengineering (Basel, Switzerland)2026

AI-Guided Home-Based Therapy for Convergence Insufficiency: A Comparative Feasibility Study with Pencil Push-Ups.

Ahmad Khatib, Shmuel Raz, Elad Shvartz, Ilan Shimshoni, Haneen Jabaly-Habib

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ahmad KhatibDepartment of Information Systems, University of Haifa, Haifa 3498838, Israel.ORCID 0009-0004-5321-6486
Shmuel RazDepartment of Information Systems, University of Haifa, Haifa 3498838, Israel.
Elad ShvartzDepartment of Ophthalmology, Tzafon Medical Center, Tiberias 1520800, Israel.ORCID 0009-0007-9171-7996
Ilan ShimshoniDepartment of Information Systems, University of Haifa, Haifa 3498838, Israel.ORCID 0000-0002-5276-0242
Haneen Jabaly-HabibDepartment of Ophthalmology, Tzafon Medical Center, Tiberias 1520800, Israel.ORCID 0000-0002-0506-0040

Funding

Israel Innovation Authority 79054
6 · The paper itself

Abstract

backgroundConvergence insufficiency (CI) is a common binocular vision disorder that causes eye strain, headaches, and blurriness. Although pencil push-ups (PPU) are widely used to treat CI, their real-world effectiveness may be limited by inconsistent performance and poor adherence. MobileS (the App) is an AI-based smartphone application that tracks eye movements through the front camera, enabling guided "digital push-ups" with instant visual feedback and automatic performance monitoring. This follow-up study evaluated the feasibility, recorded adherence, and preliminary clinical signals of MobileS as a home-based therapy for CI compared with conventional PPU.

methodsTwenty-five participants with CI were randomly assigned to either the App group (

resultsAll 25 randomized participants completed all three NPC assessment points. The App group showed a statistically significant improvement in NPC from baseline to study completion (mean improvement = 2.81 cm,

conclusionsMobileS appears feasible as a home-based CI management tool, and was associated with higher recorded adherence and preliminary NPC improvement signals. Larger, adequately powered studies are needed to confirm efficacy, particularly for symptoms, and guide teleophthalmology implementation.

Indexed as

artificial intelligenceclinical AI integrationconvergence insufficiencydigital therapeuticseye motility disordersophthalmic AI applicationstele-ophthalmology

Identifiers

PMID42510493
PMCPMC13405863

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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.