Mining of variables from embryo morphokinetics, blastocyst's morphology and patient parameters: an approach to predict the live birth in the assisted reproduction service

Autor(es)

Cheles, Doris Spinosa ^{[1, 2]} ; Dal Molin, Eloiza Adriane ^[1] ; Rocha, Jose Celso ^[1] ; Gouveia Nogueira, Marcelo Fabio ^[2]

Afiliação do(s) autor(es)

^[1] Sao Paulo State Univ UNESP, Sch Languages & Sci, Dept Biol Sci, Lab Matemat Aplicada, Campus Assis, Assis, SP - Brazil

^[2] Sao Paulo State Univ UNESP, Sch Sci & Languages, Dept Biol Sci, Lab Micromanipulacao Embrionaria, Campus Assis, Assis, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: JORNAL BRASILEIRO DE REPRODUCAO ASSISTIDA; v. 24, n. 4, p. 470-479, OCT-DEC 2020.
• Citações Web of Science: 0

Resumo

Based on growing demand for assisted reproduction technology, improved predictive models are required to optimize in vitro fertilization/intracytoplasmatic sperm injection strategies, prioritizing single embryo transfer. There are still several obstacles to overcome for the purpose of improving assisted reproductive success, such as intra- and inter-observer subjectivity in embryonic selection, high occurrence of multiple pregnancies, maternal and neonatal complications. Here, we compare studies that used several variables that impact the success of assisted reproduction, such as blastocyst morphology and morphokinetic aspects of embryo development as well as characteristics of the patients submitted to assisted reproduction, in order to predict embryo quality, implantation or live birth. Thereby, we emphasize the proposal of an artificial intelligence-based platform for a more objective method to predict live birth. (AU)

• Processo FAPESP: 12/50533-2 - GIFT: melhoramento genômico de características relacionadas com a fertilização em gado bovino dinamarquês e brasileiro
• Beneficiário: Marcelo Fábio Gouveia Nogueira
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 17/19323-5 - Classificação de embriões humanos mediante as técnicas de time-lapse, processamento de imagens digitais e inteligência artificial
• Beneficiário: José Celso Rocha
• Modalidade de apoio: Auxílio à Pesquisa - Regular