Data-Driven Prediction of Embryo Implantation Probability Using IVF - PowerPoint PPT Presentation

Oct 30, 2023 •243 likes •305 views

Data-Driven Prediction of Embryo Implantation Probability Using IVF Time-lapse Imaging David H. Silver, Martin Feder, Yael Gold-Zamir, Avital L. Polsky, Shahar Rosentraub, Efrat Shachor, Adi Weinberger, Pavlo Mazur, Valery D.

Data-Driven Prediction of Embryo Implantation Probability Using IVF Time-lapse Imaging David H. Silver¹, Martin Feder¹, Yael Gold-Zamir¹, Avital L. Polsky¹, Shahar Rosentraub¹, Efrat Shachor¹, Adi Weinberger¹, Pavlo Mazur², Valery D. Zukin², Alex M. Bronstein¹ ³ 1 Embryonics LTD, Tel Aviv, Israel. 2 Clinic of Reproductive Medicine ‘ Nadiya ’ , Kyiv, Ukraine. 3 Department of Computer Science, Technion - Israel Institute of Technology, Haifa, Israel.
Introduction Standard of care grading: low grade Standard of care grading: high grade Ubar prediction: success Ubar prediction: failure Actual: live birth Actual: no implantation
Methods Data: 8000 time-lapse videos 4000 videos graded embryologist 300 videos with known implantation data
Results Ubar version 0.717 outperforms embryologists in any classification metric Random: Generating 1000 shuffles of the ground-truth vector, results in classifiers with distribution the same as the data.
Conclusion & future work Ubar significantly outperforms a panel Future work: of expert embryologists ▪ More data ▪ More balanced data ▪ Patient and embryo genetic data ▪ Statistically meaningful prediction confidence ▪ Pixel-level interpretability of the prediction THANK YOU! info@embryonics.me

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