Research - MIM Fertility - Everyone deserves to be a parent

Research and Publications

Unlock a treasure trove of fertility insights! Discover our vast range of research findings and publications, leading the way in cutting-edge reproductive health discoveries for doctors and fertility pros.

P-150 Predicting fetal heartbeat in vitrified blastocysts through artificial intelligence analysis of post-warming images and videos 2024

L Conversa Martínez, S Marqueño, L Murria, L Carrión, A Cobo, M Meseguer Human Reproduction, Volume 39, Issue Supplement_1, July 2024, deae108.522
P-204 Automated embryo assessment: a simple web application correlates scores with embryo morphology, developmental velocity, ploidy, and clinical outcomes 2024

C Albert Rodriguez, L Bori, L Murria, C Piluso, J Remohí, M Meseguer Human Reproduction, Volume 39, Issue Supplement_1, July 2024, deae108.574
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 2024

P Wygocki, P Pawlik, J Kuśmierczyk-Kubiak, M Brzozowski, A Kuczyńska, W Kuczyński, A Ossowska-Drożdż, K Krawczyńska, M Goc, J Wyroba, J Kochan, M Barszcz, A Vidal Pascual Rodríguez, E Pérez Peña, R Milewski Human Reproduction, Volume 39, Issue Supplement_1, July 2024, deae108.585
O-218 Prospective validation of an artificial intelligence platform for automated follicle counting 2024

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
P-645 A machine learning model for optimal trigger day recommendation 2024

P Wygocki, J Znaniecki, R Bojanowski, A Zapała, K Zieliński, N Gajewska, D Drzyzga, P Sankowski Human Reproduction, Volume 39, Issue Supplement_1, July 2024, deae108.977
P-694 Fully automated follicle counting matches human accuracy levels in predicting stimulation outcomes 2024

P Wygocki, A Zapała, M Ulfig, M Zieleń, K Zieliński, N Gajewska, D Drzyzga, M Wrochna Human Reproduction, Volume 39, Issue Supplement_1, July 2024, deae108.1024
P-289 Evaluation of AI-based, non-invasive and annotation free EMBRYOAID software with embryologists: time and prediction 2023

P Wygocki, M Siennicki, P Pawlik, H Kompanowski, T Gilewicz, P Sankowski, J Kuśmierczyk-Kubiak, CSS Lee, AYX Lim, B Stankiewicz, K Zielińsk, J Liss, T Barut, R Milewski, W Kuczyński | Human Reproduction 38 (Supplement_1), dead093. 647
P-225 Trustworthy AI algorithm for embryo ranking 2023

S Deluga-Białowarczuk, P Wygocki, P Pawlik, H Kompanowski, T Gilewicz, M Siennicki, P Sankowski, R Milewski, B Stankiewicz, I Martynowicz, P Sieczyński, W Kuczyński | Human Reproduction 38 (Supplement_1), dead093. 583
P-674 Automatizing ovarian follicle counting and measurement with artificial intelligence 2023

P Wygocki, M Ulfig, M Wrochna, A Zapała, M Zieleń, U Sankowska, K Zieliński, N Gajewska, D Drzyzga, P Sankowski | Human Reproduction 38 (Supplement_1), dead093. 999
P-214 The size of the embryo can be used as a single predictor for selecting embryo for transfer 2023

I Martynowicz, P Wygocki, T Gilewicz, M Siennicki, P Pawilk, H Kompanowski, P Sankowski, B Stankiewicz, A Kuczyńska, S Deluga-Białowarczuk, R Milewski, P Sieczyński | Human Reproduction 38 (Supplement_1), dead093. 573
Personalized prediction of the secondary oocytes number after ovarian stimulation: A machine learning model based on clinical and genetic data 2023

Krystian Zieliński, Sebastian Pukszta, Małgorzata Mickiewicz, Marta Kotlarz, Piotr Wygocki, Marcin Zieleń, Dominika Drzewiecka, Damian Drzyzga, Anna Kloska, Joanna Jakóbkiewicz-Banecka | PLOS Computational Biology 19 (4), e1011020
Improved feature importance computation for tree models based on the Banzhaf value 2022

Adam Karczmarz, Tomasz Michalak, Anish Mukherjee, Piotr Sankowski, Piotr Wygocki | Uncertainty in Artificial Intelligence, 969-979
The impact of clinical factors on the number of MII oocytes 2022

K Zielinski, D Drzyzga, P Wygocki, M Zielen, J Liss | HUMAN REPRODUCTION 37, I495-I496
P-653 The impact of clinical factors on the number of MII oocytes 2022

K Zieliński, D Drzyzga, P Wygocki, M Zieleń, J Liss | Human Reproduction 37 (Supplement_1), deac107. 602
Detecting gene variants correlated with MII oocytes developed during ovarian stimulation 2022

S Pukszta, K Zielinski, P Wygocki, M Zielen, J Jakobkiewicz-Banecka, A Kloska | HUMAN REPRODUCTION 37, I502-I502

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