P-653 The impact of clinical factors on the number of MII oocytes by Zieliński, K, Drzyzga, D, Wygocki, P, Zieleń, M, Liss, J

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P-645 A machine learning model for optimal trigger day recommendation by Wygocki, P, Znaniecki, J, Bojanowski, R, Zapała, A, Zieliński, K, Gajewska, N, Drzyzga, D, Sankowski, P

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P-694 Fully automated follicle counting matches human accuracy levels in predicting stimulation outcomes by Wygocki, P, Zapała, A, Ulfig, M, Zieleń, M, Zieliński, K, Gajewska, N, Drzyzga, D, Wrochna, M

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O-218 Prospective validation of an artificial intelligence platform for automated follicle counting by Wygocki, P, Ulfig, M, Zapała, A, Zieleń, M, Krystian, Z, Gajewska, N, Drzyzga, D, Wrochna, M

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P-666 Detecting gene variants correlated with MII oocytes developed during ovarian stimulation by Pukszta, S, Zieliński, K, Wygocki, P, Zieleń, M, Jakóbkiewicz-Banecka, J, Kloska, A

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P-674 Automatizing ovarian follicle counting and measurement with artificial intelligence by Wygocki, P, Ulfig, M, Wrochna, M, Zapała, A, Zieleń, M, Sankowska, U, Zieliński, K, Gajewska, N, Drzyzga, D, Sankowski, P

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P-214 The size of the embryo can be used as a single predictor for selecting embryo for transfer by Martynowicz, I, Wygocki, P, Gilewicz, T, Siennicki, M, Pawilk, P, Kompanowski, H, Sankowski, P, Stankiewicz, B, Kuczyńska, A, Deluga-Białowarczuk, S, Milewski, R, Sieczyński, P

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P-225 Trustworthy AI algorithm for embryo ranking by Deluga-Białowarczuk, S, Wygocki, P, Pawlik, P, Kompanowski, H, Gilewicz, T, Siennicki, M, Sankowski, P, Milewski, R, Stankiewicz, B, Martynowicz, I, Sieczyński, P, Kuczyński, W

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P-215 Prospective validation of the EMBRYOAID software for AI-based evaluation of embryos on the 5th day after fertilization during the in vitro procedure - multi-centre study by Wygocki, P, Pawlik, P, Kuśmierczyk-Kubiak, J, Brzozowski, M, Kuczyńska, A, Kuczyński, W, Ossowska-Drożdż, A, Krawczyńska, K, Goc, M, Wyroba, J, Kochan, J, Barszcz, M, Vidal Pascual Rodríguez, A, Pérez Peña, E, Milewski, R

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P-289 Evaluation of AI-based, non-invasive and annotation free EMBRYOAID software with embryologists: time and prediction by Wygocki, P, Siennicki, M, Pawlik, P, Kompanowski, H, Gilewicz, T, Sankowski, P, Kuśmierczyk-Kubiak, J, Lee, C S S, Lim, A Y X, Stankiewicz, B, Zielińsk, K, Liss, J, Barut, T, Milewski, R, Kuczyński, W

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