An artificial intelligence platform for automated measurement and count estimation of ovarian follicles during ovarian stimulation and IVF: a multicenter study
This AI platform enables accurate, automated follicle counting and measurement during ovarian stimulation. It matches expert-level performance, improves efficiency, and supports scalable, cost-effective fertility care without compromising quality.
Authors
- Damian Drzyzga (ORCID: https://orcid.org/0000-0002-6466-2412)
- Piotr Sankowski (ORCID: https://orcid.org/0000-0002-0907-3754)
- Marcin Zieleń
- Piotr Wygocki
- Marcin Wrochna (ORCID: https://orcid.org/0000-0001-9346-2172)
- A Zapała
- K Zieliński (ORCID: https://orcid.org/0000-0003-1610-5440)
- Gerard S. Letterie (ORCID: https://orcid.org/0000-0001-9447-3295)
- M Ulfig
- N Gajewska
Institutions
- Gdańsk University of Technology (PL)
- CARE Fertility (US)
- Seattle Reproductive Medicine (US)
- Houston Fertility Institute (US)
- University of Warsaw (PL)
Publication Details
- Journal
- Journal of Assisted Reproduction and Genetics
- Published
- 2026-01-03
- DOI
- https://doi.org/10.1007/s10815-025-03777-y
- Primary Topic
- Ovarian function and disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00