ReviewThe world journal of men's health2024
Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics.
Review in The world journal of men's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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.
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
44 citing papers in PubMed.
- Automated Bergmann-Kliesch Score assessment in testicular biopsies using artificial intelligence-based whole-slide image analysis: a retrospective monocentric development and validation study.Basic and clinical andrology · 2026Article
- Quality and Readability Analysis of Artificial Intelligence-Generated Medical Information Related to Prostate Cancer: A Cross-Sectional Study of ChatGPT and DeepSeek.The world journal of men's health · 2026Article
- Machine Learning Evaluation of Semen Analysis Could Reveal New Infertility-Related Markers: A Pilot Study.The world journal of men's health · 2026Article
- Bioinformatics and multi-omics approaches in male infertility: implications for diagnosis and assisted reproduction.Journal of assisted reproduction and genetics · 2026Review
- The Global State of Contemporary Andrology Practice: A Comprehensive Analysis of Clinical Practice, Training Pathways, and Emerging Challenges.The world journal of men's health · 2026Article
- Validation of a Novel Smartphone-Based Point-of-Care Semen Analysis System to Evaluate Male Reproductive Potential: A Concordance Study with Computer-Assisted Sperm Analysis.Diagnostics (Basel, Switzerland) · 2026Article
- 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
- Present and future opportunities for artificial intelligence applications in dairy cattle reproduction.Animal frontiers : the review magazine of animal agriculture · 2026Article
- Artificial intelligence in infertility treatment: Applications, challenges, and future directions: A narrative review.International journal of reproductive biomedicine · 2026Review
- The Evolving Role of Artificial Intelligence in Andrological Surgery: Current Landscape and Future Direction.Journal of clinical medicine · 2026Review
- Does the Quality and Readability of Information Related to Varicocele Obtained from ChatGPT 4.0 Remain Consistent Across Different Models of Inquiry?The world journal of men's health · 2026Article
- Evaluating the quality and readability of AI-generated information on adenomyosis: a comparative analysis of ChatGPT and deepseek regarding query-model consistency.Frontiers in public health · 2026Article
- Deep learning-enabled morphology analysis of bovine sperm for label-free imaging flow cytometry.Frontiers in veterinary science · 2026Article
- Implementation readiness of artificial intelligence inFrontiers in endocrinology · 2026Review
- Artificial intelligence technology for the ethical issues research from a Marxist perspective under deep learning.Scientific reports · 2025Article
- Expert-Annotated Optical Microscopy Images of Human Sperm for Detection and DNA Fragmentation Assessment.Scientific data · 2025Article
- Automated AI for real-time sperm selection in ICSI: reducing variability and studying the role of sperm in embryo development.Reproductive biology and endocrinology : RB&E · 2025Observational
- The Evolution of In Vitro Fertilization Practices in Saudi Arabia: Historical Perspectives and Future Directions.Cureus · 2025Review
- The role of sperm DNA fragmentation in reproduction: a SWOT analysis.Journal of assisted reproduction and genetics · 2025Review
- Artificial intelligence-driven transformative applications in disease diagnosis technology.Medical review (2021) · 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
61 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) in medicine has gained a lot of momentum in the last decades and has been applied to various fields of medicine. Advances in computer science, medical informatics, robotics, and the need for personalized medicine have facilitated the role of AI in modern healthcare. Similarly, as in other fields, AI applications, such as machine learning, artificial neural networks, and deep learning, have shown great potential in andrology and reproductive medicine. AI-based tools are poised to become valuable assets with abilities to support and aid in diagnosing and treating male infertility, and in improving the accuracy of patient care. These automated, AI-based predictions may offer consistency and efficiency in terms of time and cost in infertility research and clinical management. In andrology and reproductive medicine, AI has been used for objective sperm, oocyte, and embryo selection, prediction of surgical outcomes, cost-effective assessment, development of robotic surgery, and clinical decision-making systems. In the future, better integration and implementation of AI into medicine will undoubtedly lead to pioneering evidence-based breakthroughs and the reshaping of andrology and reproductive medicine.
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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.