Genetic algorithm–assisted machine learning for clinical pregnancy prediction in in vitro fertilizationAJOG Global Reports at a Glance

Autor: Claudio Michael Louis, SKom, BEng, Nining Handayani, DVM, MBiomed, Tri Aprilliana, BPH, Arie A. Polim, MD, SpOG, DMAS, MBHRE, Arief Boediono, DVM, PhD, Ivan Sini, MD, FRANZOG, GDRM, MMIS, SpOG

Publikováno v: AJOG Global Reports, Vol 3, Iss 1, Pp 100133- (2023)

BACKGROUND: A clinical pregnancy prediction model was developed by implementing machine learning technology that uses a combination of static images and medical data to calculate the outcome of an in vitro fertilization cycle.OBJECTIVE: To provide a

Externí odkaz: https://doaj.org/article/1a034172ec58426cbc1ee0facb55738e

Genetic algorithm-assisted machine learning for clinical pregnancy prediction in in vitro fertilization.

Autor: Louis CM; IRSI Research and Training Centre, Jakarta, Indonesia (Mr Claudio, Mses Handayani and Aprilliana, and Drs Polim, Boediono, and Sini)., Handayani N; IRSI Research and Training Centre, Jakarta, Indonesia (Mr Claudio, Mses Handayani and Aprilliana, and Drs Polim, Boediono, and Sini).; Morula IVF Jakarta Clinic, Jakarta, Indonesia (Ms Handayani and Drs Polim, Boediono, and Sini)., Aprilliana T; IRSI Research and Training Centre, Jakarta, Indonesia (Mr Claudio, Mses Handayani and Aprilliana, and Drs Polim, Boediono, and Sini)., Polim AA; IRSI Research and Training Centre, Jakarta, Indonesia (Mr Claudio, Mses Handayani and Aprilliana, and Drs Polim, Boediono, and Sini).; Morula IVF Jakarta Clinic, Jakarta, Indonesia (Ms Handayani and Drs Polim, Boediono, and Sini).; Department of Obstetrics and Gynecology, School of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia (Dr Polim)., Boediono A; IRSI Research and Training Centre, Jakarta, Indonesia (Mr Claudio, Mses Handayani and Aprilliana, and Drs Polim, Boediono, and Sini).; Morula IVF Jakarta Clinic, Jakarta, Indonesia (Ms Handayani and Drs Polim, Boediono, and Sini).; Department of Anatomy, Physiology, and Pharmacology, Institut Pertanian Bogor University, Bogor, Indonesia (Dr Boediono)., Sini I; IRSI Research and Training Centre, Jakarta, Indonesia (Mr Claudio, Mses Handayani and Aprilliana, and Drs Polim, Boediono, and Sini).; Morula IVF Jakarta Clinic, Jakarta, Indonesia (Ms Handayani and Drs Polim, Boediono, and Sini).

Publikováno v: AJOG global reports [AJOG Glob Rep] 2022 Nov 09; Vol. 3 (1), pp. 100133. Date of Electronic Publication: 2022 Nov 09 (Print Publication: 2023).

P-233 Deep ensembles-based AI as a tool to support embryo grading and clinical pregnancy prediction

Autor: H.J Lee, T Ko, J.H Park, H.M Kim, S Woo

Publikováno v: Human Reproduction. 37

Study question Can deep learning accurately evaluate embryo grades and predict clinical pregnancy while providing relevant clinical evidence, not just results from a black box? Summary answer The sophisticated ensemble method can improve the predicti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::86b5a034fc5ed2b4ca242dff429c98a2
https://doi.org/10.1093/humrep/deac106.060

Predicting IVF Pregnancy Outcome and Analyzing its Cost Factors: An Artificial Intelligence Approach.

Autor: Borna, Mahdi-Reza¹, Sepehri, Mohammad Mehdi¹ mehdi.sepehri@modares.ac.ir

Publikováno v: Novelty in Biomedicine. Winter2024, Vol. 12 Issue 1, p23-30. 8p.

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