Health Technology/clinical-trials

Prospective Study Validates AI Platform for Sperm Analysis and IVF Outcome Prediction — Implications for Reproductive Medicine

247 Health News Editorial

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16 Apr 2026

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3 min read

·clinical-trials

Spanish 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. 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. 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. 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. 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. 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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