Prospective Study Validates AI Platform for Sperm Analysis and IVF Outcome Prediction — Implications for Reproductive Medicine
247 Health News Editorial
·16 Apr 2026
·3 min read
·clinical-trialsSpanish researchers are validating an AI platform to predict IVF/ICSI outcomes from sperm analysis, potentially revolutionising fertility treatment planning. The 500-participant study could establish new standards for reproductive laboratory practice.
Originally reported by ClinicalTrials.gov
References
- 1.Fecundis Lab SL. (2024). Development and validation of an artificial intelligence platform for the analysis of sperm samples and prediction of their clinical potential. ClinicalTrials.gov. NCT07456397. https://clinicaltrials.gov/study/NCT07456397
- 2.Guzick, D. S., Overstreet, J. W., Factor-Litvak, P., Brazil, C. K., Nakajima, S. T., Coutifaris, C., Carson, S. A., Cisneros, P., Steinkampf, M. P., Hill, J. A., Xu, D., & Vogel, D. L. (2001). Sperm morphology, motility, and concentration in fertile and infertile men. New England Journal of Medicine, 345(19), 1388-1393. https://doi.org/10.1056/NEJM200103083441001
- 3.Barratt, C. L., Björndahl, L., De Jonge, C. J., Lamb, D. J., Osorio Martini, F., McLachlan, R., Oates, R. D., van der Poel, S., St John, B., Sigman, M., Sokol, R., & Tournaye, H. (2017). The diagnosis of male infertility: an analysis of the evidence to support the development of global WHO guidance. Human Reproduction Update, 23(6), 660-680. https://doi.org/10.1093/humupd/dmx021
- 4.Riordon, J., McCallum, C., & Sinton, D. (2019). Deep learning for the classification of human sperm. Computers in Biology and Medicine, 111, 103342. https://doi.org/10.1016/j.compbiomed.2019.103342
- 5.Agarwal, A., Mulgund, A., Hamada, A., & Chyatte, M. R. (2015). A unique view on male infertility around the globe. Reproductive Biology and Endocrinology, 13, 37. https://doi.org/10.1186/s12958-015-0032-1
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247 Health News Editorial
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