SynthesisEuropean journal of medical research2025
Artificial intelligence (AI) approaches to male infertility in IVF: a mapping review.
Synthesis in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- A Scoping Review of Male Fertility Assessment and Treatment Across Historical and Contemporary Paradigms.Andrology · 2026Article
- Artificial Intelligence-Driven Reproductive Bioengineering: Integrating Fertility Diagnostics, Organ-on-Chip Systems, Cryobiology and Epigenetic Safety for Precision Reproductive Medicine.Bioengineering (Basel, Switzerland) · 2026Review
- Recurrent Pregnancy Loss: A Couple-Based Framework for Integrating Paternal Assessment.Biomedicines · 2026Review
- Bioinformatics and multi-omics approaches in male infertility: implications for diagnosis and assisted reproduction.Journal of assisted reproduction and genetics · 2026Review
- Comment on: Utilization of Artificial Intelligence in Men's Health: Opportunities for Innovation and Quality Improvement.International journal of impotence research · 2026Article
- Explainable Artificial Intelligence in Assisted Reproductive Technology: Bridging Prediction and Clinical Judgment.Biomedicines · 2026Review
- Integrating Sperm Microscopy, Environmental Exposures, and Lifestyle Factors for Male Fertility Analysis: Protocol for the Nippon Semen and Environmental Exposure Database (N-SEED) Cross-Sectional Study.JMIR research protocols · 2026Article
- The Evolving Role of Artificial Intelligence in Andrological Surgery: Current Landscape and Future Direction.Journal of clinical medicine · 2026Review
- Breaking barriers in male infertility: the power of artificial intelligence-driven solutions.Frontiers in urology · 2026Review
- Environmental determinants of male infertility: emerging threats and technological interventions.Frontiers in medicine · 2026Review
- Evaluation of vision transformers and vision foundation models for sperm morphology analysis.Frontiers in reproductive health · 2026Article
- Still counting sperm? Why novel, truly informative measurements of testis function in male infertility are urgently needed.Endocrine · 2025Review
- Bridging Andrology and Oncology: Prognostic Indicators of Cancer Among Infertile Men.Current issues in molecular biology · 2025Review
- Enhancing the precision of male fertility diagnostics through bio inspired optimization techniques.Scientific reports · 2025Article
- Machine Learning Framework for Ovarian Cancer Diagnostics Using Plasma Lipidomics and Metabolomics.International journal of molecular sciences · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMale infertility contributes to 20-30% of infertility cases, yet traditional diagnostic and treatment methods face limitations in accuracy and consistency. Artificial intelligence (AI) promises to transform male infertility management within in vitro fertilization (IVF) by enhancing precision and efficiency.
objectiveThis study aims to map current AI applications in male infertility, evaluate their performance in IVF contexts, identify gaps in research, and propose strategies for clinical adoption.
methodsWe conducted a mapping review of 14 studies, sourced from PubMed, Scopus, IEEE, and Web of Science up to 2024. Using PRISMA guidelines, we systematically searched titles and abstracts with keywords like "IVF," "AI," and "sperm analysis." Two authors independently screened records, extracted data on AI techniques, sample sizes, and outcomes, and categorized applications through content analysis, resolving discrepancies via consensus.
resultsAI employs tools like support vector machines (SVM), multi-layer perceptrons (MLP), and deep neural networks across six key areas. These include sperm morphology (e.g., SVM with AUC 88.59% on 1400 sperm), motility (e.g., SVM with 89.9% accuracy on 2817 sperm), and non-obstructive azoospermia (NOA) sperm retrieval (e.g., gradient boosting trees [GBT] with AUC 0.807 and 91% sensitivity on 119 patients). AI also predicts IVF success (e.g., random forests with AUC 84.23% on 486 patients) and assesses sperm DNA fragmentation. Research surged since 2021, with 8 of 14 studies (57%) published between 2021 and 2023, reflecting growing interest..
conclusionsAI enhances diagnostic accuracy and treatment outcomes in male infertility. Future steps include multicenter validation trials, AI-driven sperm selection for IVF/ICSI, and standardized methods to ensure clinical reliability. Addressing ethical concerns like data privacy will further enable AI to improve IVF success globally.
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Registered trials
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