O-218 Prospective validation of an artificial intelligence platform for automated follicle counting

Human Reproduction (2024)

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O-218 Prospective validation of an artificial intelligence platform for automated follicle counting

P Wygocki, M Ulfig, A Zapała, M Zieleń, Z Krystian, N Gajewska, D Drzyzga, M Wrochna Human Reproduction, Volume 39, Issue Supplement_1, July 2024, deae108.257

This study evaluated the accuracy of automated ovarian follicle measurements using the FOLLISCAN AI platform integrated into routine IVF practice. A total of 294 ultrasound videos from 147 exams involving 101 patients were analyzed, resulting in 4,347 follicle annotations. The findings suggest that AI-based follicle annotation offers consistent and efficient measurements, requiring minimal expert intervention and significantly reducing time spent on manual counting.

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