A Hybrid Artificial Intelligence Model Leverages Multi-Centric Clinical Data to Improve Fetal Heart Rate Pregnancy Prediction Across Time-Lapse Systems.

A. Duval,D. Nogueira, N. Dissler, M. Maskani Filali, F. Delestro Matos,L. Chansel-Debordeaux,M. Ferrer-Buitrago, E. Ferrer, V Antequera,M. Ruiz-Jorro,A. Papaxanthos, H. Ouchchane,B. Keppi, P-y Prima,G. Regnier-Vigouroux, L. Trebesses,C. Geoffroy-Siraudin, S. Zaragoza,E. Scalici,P. Sanguinet, N. Cassagnard, C. Ozanon,A. de la Fuente,E. Gomez,M. Gervoise Boyer,P. Boyer,E. Ricciarelli, X. Pollet-Villard, A. Boussommier-Calleja

Human Reproduction（2023）

Cited 15|Views4

Key words

deep learning,time-lapse incubator systems,embryo evaluation,artificial intelligence,pregnancy,gonadotrophin,machine learning

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