Iman Hajirasouliha | AI Models in Reproductive Medicine | CGSI 2024 скачать в хорошем качестве

Iman Hajirasouliha | AI Models in Reproductive Medicine | CGSI 2024

Iman Hajirasouliha | AI Models in Reproductive Medicine | CGSI 2024 Related Papers: Hanassab, S., Abbara, A., Yeung, A. C., Voliotis, M., Tsaneva-Atanasova, K., Kelsey, T. W., Trew, G. H., Nelson, S. M., Heinis, T., & Dhillo, W. S. (2024). The prospect of artificial intelligence to personalize assisted reproductive technology. NPJ Digital Medicine, 7, Article 55. https://doi.org/10.1038/s41746-024-00... Curchoe, C. L., Malmsten, J., Bormann, C., Shafiee, H., Flores-Saiffe Farias, A., Mendizabal, G., Chavez-Badiola, A., Sigaras, A., Alshubbar, H., Chambost, J., Jacques, C., Pena, C. A., Drakeley, A., Freour, T., Hajirasouliha, I., Hickman, C. F. L., Elemento, O., Zaninovic, N., & Rosenwaks, Z. (2020). Predictive modeling in reproductive medicine: Where will the future of artificial intelligence research take us? Fertility and Sterility, 114(5), 934-940. https://doi.org/10.1016/j.fertnstert.... Barnes, J., Brendel, M., Gao, V. R., Rajendran, S., Kim, J., Li, Q., Malmsten, J. E., Sierra, J. T., Zisimopoulos, P., Sigaras, A., Khosravi, P., Meseguer, M., Zhan, Q., Rosenwaks, Z., Elemento, O., Zaninovic, N., & Hajirasouliha, I. (2023). A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: A retrospective model development and validation study. The Lancet Digital Health, 5(1), e28-e40. https://doi.org/10.1016/S2589-7500(22... Khosravi, P., Kazemi, E., Zhan, Q., Malmsten, J. E., Toschi, M., Zisimopoulos, P., Sigaras, A., Lavery, S., Cooper, L. A. D., Hickman, C., Meseguer, M., Rosenwaks, Z., Elemento, O., Zaninovic, N., & Hajirasouliha, I. (2019). Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization. NPJ Digital Medicine, 2, 21. https://doi.org/10.1038/s41746-019-00...