ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2019
Prediction of DNA Integrity from Morphological Parameters Using a Single-Sperm DNA Fragmentation Index Assay.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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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.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Use of Artificial Intelligence in the choice of sperm for ICSI - A Literature Review.JBRA assisted reproduction · 2026Pooled it
- Artificial intelligence-driven precision treatment of reproductive medicine-related diseases: the optimal protocol choice for IVF-ET.Journal of advanced research · 2026Article
- Female reproductive tract-on-a-chip for selecting sperm with ultra-low DNA fragmentation index.Microsystems & nanoengineering · 2026Article
- Breaking barriers in male infertility: the power of artificial intelligence-driven solutions.Frontiers in urology · 2026Review
- Development and validation of a machine learning model for sperm DNA fragmentation rate in infertile men: a multicenter retrospective study.Frontiers in endocrinology · 2026Article
- Evaluation of Volumetric Reference Ranges for SPECT MPI Parameters and the Predictive Power of Dyssynchrony Parameters: A Cross-Sectional StudyCurrent medical imaging · 2026Article
- [Advances in the Application of Artificial Intelligence in the Field of Male Infertility].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025Review
- ASB1 engages with ELOB to facilitate SQOR ubiquitination and HRedox biology · 2025Article
- Enhancing Male Fertility Through AI-Based Management of Varicoceles.Current urology reports · 2024Review
- Artificial intelligence in andrology - fact or fiction: essential takeaway for busy clinicians.Asian journal of andrology · 2024Review
- [Application of Artificial Intelligence in Sperm Quality Analysis and Sperm Screening].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024Review
- The Andrological Landscape in the Twenty-First Century: Making Sense of the Advances in Male Infertility Management for the Busy Clinicians.International journal of environmental research and public health · 2024Review
- Current Updates on Involvement of Artificial Intelligence and Machine Learning in Semen Analysis.Medicina (Kaunas, Lithuania) · 2024Review
- Advances in sperm analysis: techniques, discoveries and applications.Nature reviews. Urology · 2021Review
- Machine learning for sperm selection.Nature reviews. Urology · 2021Review
- Identifying Diabetic Macular Edema and Other Retinal Diseases by Optical Coherence Tomography Image and Multiscale Deep Learning.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
- Prediction of DNA Integrity from Morphological Parameters Using a Single-Sperm DNA Fragmentation Index Assay.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019Article
- Deep learning-based selection of human sperm with high DNA integrity.Communications biology · 2019Article
- Relation between semen oxidative reduction potential in initial semen examination and IVF outcomes.Reproductive medicine and biologyArticle
- Deep Learning-Based Robust Automated System for Predicting Human Sperm DNA Fragmentation Index.Journal of human reproductive sciencesArticle
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intracytoplasmic sperm injection is a popular form of in vitro fertilization, where single sperm are selected by a clinician and injected into an egg. Whereas clinicians employ general morphology-based guidelines to select the healthiest-looking sperm, it remains unclear to what extent an individual sperm's physical parameters correlate with the quality of internal DNA cargo-a measurement that cannot be obtained without first damaging the sperm. Herein, a single-cell DNA fragmentation index (DFI) assay is demonstrated, which combines the single-cell nature of the acridine orange test with the quantitative aspect of the sperm chromatin structure assay, to create a database of DFI-scored brightfield images. Two regression predictive models, linear and nonlinear regression, are used to quantify the correlations between individual sperm morphological parameters and DFI score (with model test
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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.