ArticleFrontiers in medicine2021
Design and Assessment of Convolutional Neural Network Based Methods for Vitiligo Diagnosis.
Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled 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.
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
12 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review.BMC medical informatics and decision making · 2025Pooled it
- Advancements and challenges of artificial intelligence in dermatology: a review of applications and perspectives in China.Frontiers in digital health · 2025Pooled it
- Detection of Vitiligo Through Machine Learning and Computer-Aided Techniques: A Systematic Review.BioMed research international · 2024Pooled it
- Non-invasive skin measurement methods and diagnostics for vitiligo: a systematic review.Frontiers in medicine · 2023Pooled it
- Scoring Systems in Vitiligo-A Narrative Review.Indian dermatology online journal · 2026Article
- Clinically Interpretable Deep Learning for Differentiating Vitiligo and Postinflammatory Hypopigmentation: Diagnostic Accuracy Study.JMIR medical informatics · 2026Article
- Transforming Aesthetic Dermatology: The Role of Artificial Intelligence in Skin Health.Dermatology and therapy · 2025Review
- Potential of automated image analysis for the measurement of vitiligo lesions.Frontiers in medicine · 2025Article
- Technological advances in vitiligo management: perspectives on AI, mobile tools, and clinical utility.Frontiers in medicine · 2025Article
- Optimizing vitiligo diagnosis with ResNet and Swin transformer deep learning models: a study on performance and interpretability.Scientific reports · 2024Article
- Skin Type Diversity in Skin Lesion Datasets: A Review.Current dermatology reports · 2024Review
- The Potency of Artificial Intelligence in Diagnosing and Evaluating the Severity of Vitiligo: A Systematic Review and Meta-Analysis.Indian journal of dermatologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
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.