ArticleNPJ digital medicine2025
Artificial intelligence-derived retinal age gap as a marker for reproductive aging in women.
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 13 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
13 citing papers in PubMed.
- Deep learning-derived retinal age gap and its associations with lifestyle, systemic, and ocular health in a health screening cohort.GeroScience · 2026Article
- A Sm-MOF@Ag electrochemiluminescence immunosensor mediated by CuBiMikrochimica acta · 2026Article
- Research progress on multi-mechanism analysis and protection strategies of ovarian aging and fertility decline.Journal of ovarian research · 2026Review
- Explainable retinal deep learning for cardiovascular risk stratification: a multiple modality analysis framework with vascular-centric interpretability and robustness.BMC medical informatics and decision making · 2026Article
- Reproductive Fitness and the Links to Chronic Disease and Systemic Aging.Physiology (Bethesda, Md.) · 2026Review
- Replication of the Association between Retinal Aging Clock Susceptibility Genes and Retinal Age Gap in an Asian Population: The Nagahama Study.Ophthalmology science · 2026Article
- ORANGE: a machine learning approach for modeling tissue-specific aging from transcriptomic data.Briefings in bioinformatics · 2026Article
- From static snapshots to longitudinal trajectories: artificial intelligence in women's reproductive and ovarian health.Frontiers in endocrinology · 2026Review
- Artificial intelligence-integrated multimodal retinal imaging for early detection and risk stratification of systemic vascular and neurodegenerative diseases.Frontiers in neurology · 2026Article
- Review
- REECAP: Contrastive learning of retinal aging reveals genetic loci linking morphology to eye disease.medRxiv : the preprint server for health sciences · 2025Article
- Artificial Intelligence in Assessing Reproductive Aging: Role of Mitochondria, Oxidative Stress, and Telomere Biology.Diagnostics (Basel, Switzerland) · 2025Review
- Precision pharmacology in menopause: advances, challenges, and future innovations for personalized management.Frontiers in reproductive health · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Reproductive aging impacts women's health through fertility decline, disease susceptibility, and systemic aging. This study explores the retinal age gap-the difference between predicted retinal age and chronological age-as a novel biomarker for reproductive aging. By developing a Swin-Transformer-based dual-channel transfer learning model with data from 1294 healthy women, we examined associations between the retinal age gap and Anti-Müllerian Hormone (AMH), a key marker of ovarian reserve. Findings revealed a negative association between the retinal age gap and AMH levels, particularly among women aged 40-50. Lower AMH levels correlated with earlier reproductive aging milestones, emphasizing the predictive value of retinal aging. Genetic data from genome-wide association studies further supported these associations and enhanced AMH prediction through multimodal modeling. These findings highlight the retinal age gap as a promising, non-invasive biomarker for reproductive aging and its potential role in disease prediction and personalized health interventions in women.
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.