AIMC Topic: Fertilization in Vitro
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Enhancing clinical utility: deep learning-based embryo scoring model for non-invasive aneuploidy prediction.
Reproductive biology and endocrinology : RB&E
May 22, 2024
BACKGROUND: The best method for selecting embryos ploidy is preimplantation genetic testing for aneuploidies (PGT-A). However, it takes more labour, money, and experience. As such, more approachable, non- invasive techniques were still needed. Analys...
Testing the generalizability and effectiveness of deep learning models among clinics: sperm detection as a pilot study.
Reproductive biology and endocrinology : RB&E
May 22, 2024
BACKGROUND: Deep learning has been increasingly investigated for assisting clinical in vitro fertilization (IVF). The first technical step in many tasks is to visually detect and locate sperm, oocytes, and embryos in images. For clinical deployment o...
Segmentation of mature human oocytes provides interpretable and improved blastocyst outcome predictions by a machine learning model.
Scientific reports
May 8, 2024
Within the medical field of human assisted reproductive technology, a method for interpretable, non-invasive, and objective oocyte evaluation is lacking. To address this clinical gap, a workflow utilizing machine learning techniques has been develope...
Current applications of artificial intelligence in assisted reproductive technologies through the perspective of a patient's journey.
Current opinion in obstetrics & gynecology
Apr 1, 2024
PURPOSE OF REVIEW: This review highlights the timely relevance of artificial intelligence in enhancing assisted reproductive technologies (ARTs), particularly in-vitro fertilization (IVF). It underscores artificial intelligence's potential in revolut...
Use of artificial intelligence embryo selection based on static images to predict first-trimester pregnancy loss.
Reproductive biomedicine online
Mar 5, 2024
RESEARCH QUESTION: Can an artificial intelligence embryo selection assistant predict the incidence of first-trimester spontaneous abortion using static images of IVF embryos?
Artificial intelligence-powered assisted ranking of sibling embryos to increase first cycle pregnancy rate.
Reproductive biomedicine online
Feb 12, 2024
RESEARCH QUESTION: Could EMBRYOLY, an artificial intelligence embryo evaluation tool, assist embryologists to increase first cycle pregnancy rate and reduce cycles to pregnancy for patients?
A clinical consensus-compliant deep learning approach to quantitatively evaluate human in vitro fertilization early embryonic development with optical microscope images.
Artificial intelligence in medicine
Jan 19, 2024
The selection of embryos is a key for the success of in vitro fertilization (IVF). However, automatic quality assessment on human IVF embryos with optical microscope images is still challenging. In this study, we developed a clinical consensus-compli...
Primary omental pregnancy after in vitro fertilization complicated by hemoperitoneum-how to manage it laparoscopically.
Fertility and sterility
Oct 29, 2023
OBJECTIVE: To report an uncommon case of primary OP treated laparoscopically. Ectopic pregnancy (EP) is the leading cause of maternal mortality during the first trimester and the incidence increases with assisted reproductive techniques, occurring in...
Artificial intelligence in time-lapse system: advances, applications, and future perspectives in reproductive medicine.
Journal of assisted reproduction and genetics
Oct 26, 2023
With the rising demand for in vitro fertilization (IVF) cycles, there is a growing need for innovative techniques to optimize procedure outcomes. One such technique is time-lapse system (TLS) for embryo incubation, which minimizes environmental chang...
The neglected emotional drawbacks of the prioritization of embryos to transfer.
Reproductive biomedicine online
Oct 14, 2023
In recent years, increasing efforts have been made to develop advanced techniques that could predict the potential of implantation of each single embryo and prioritize the transfer of those at higher chance. The most promising include non-invasive pr...
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