ArticleOphthalmology2019
Natural Language Processing to Quantify Microbial Keratitis Measurements.
Article in Ophthalmology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04420962 (Quantifying Microbial Keratitis to Predict Outcomes), which is not on this map. Cited by 9 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.
Quantifying Microbial Keratitis to Predict Outcomes
Who cites it
9 citing papers in PubMed.
- Self-knowledge distillation-empowered directional connectivity transformer for microbial keratitis biomarkers segmentation on slit-lamp photography.Medical image analysis · 2025Article
- Using Natural Language Processing to Identify Different Lens Pathology in Electronic Health Records.American journal of ophthalmology · 2024Article
- A NLP Pipeline for the Automatic Extraction of a Complete Microorganism's Picture from Microbiological Notes.Journal of personalized medicine · 2022Article
- Applications of natural language processing in ophthalmology: present and future.Frontiers in medicine · 2022Review
- Open-Source Automatic Biomarker Measurement on Slit-Lamp Photography to Estimate Visual Acuity in Microbial Keratitis.Translational vision science & technology · 2021Article
- Open-Source Automatic Segmentation of Ocular Structures and Biomarkers of Microbial Keratitis on Slit-Lamp Photography Images Using Deep Learning.IEEE journal of biomedical and health informatics · 2021Article
- Measurement Reliability for Keratitis Morphology.Cornea · 2020Article
- Text Processing for Detection of Fungal Ocular Involvement in Critical Care Patients: Cross-Sectional Study.Journal of medical Internet research · 2020Article
- Improving the Identification of Diabetic Retinopathy and Related Conditions in the Electronic Health Record Using Natural Language Processing Methods.Ophthalmology scienceArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
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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.