ArticleNPJ digital medicine2025
Intelligent screening of narrow anterior chamber angle based on portable slit lamp.
Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Portable AI-powered scanning slit-light device for low-cost eye disease screening.Scientific reports · 2026Article
- Smartphone-Based Portable Slit Lamp in Anterior Segment Diseases: A Narrative Review of Clinical Assessment and Integration with Artificial Intelligence.Ophthalmology and therapy · 2026Review
- Development, validation, and cost-effectiveness analysis of an AI-assisted three-tiered glaucoma screening model in a community-based setting: protocol for a cluster randomized controlled trial.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Primary angle closure glaucoma (PACG) is a major cause of irreversible blindness, characterized by shallow anterior chambers and narrow angles. In our study, we used anterior segment photographs from a modified mobile camera to develop algorithms for identifying narrow anterior chamber angles (NACA). We calculated eight biological parameters after preprocessing the images, segmenting the corneal and iris light bands, and modeling the central anterior chamber. In the training dataset, the accuracy of NACA identification using these parameters ranged from 0.68 to 0.85, with an AUC of 0.76 to 0.90. The internal test dataset's accuracy ranged from 0.65 to 0.85, with sensitivity between 0.40 and 0.95 and specificity between 0.61 and 1.00. An ensemble model achieved a sensitivity of 0.90 and a specificity of 0.85 on the internal test dataset, but its performance declined on external datasets. Despite generalization challenges, portable slit lamps equipped with advanced algorithms show promise for NACA screening.
Identifiers
What OpenQuestion holds
Registered trials
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.