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Artificial intelligence in the embryology laboratory: a review
Irene Dimitriadis1, Nikica Zaninovic2, Alejandro Chavez Badiola3
1Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston MA, USA.
Reproductive Biomedicine Online
|January 14, 2022
Summary
Artificial intelligence (AI) offers an unbiased approach to embryo assessment, improving in vitro fertilization (IVF) outcomes. This technology enhances embryo selection, aiming for healthier babies and reducing multiple pregnancies.
Area of Science:
- Reproductive Medicine and Embryology
- Artificial Intelligence in Healthcare
- Assisted Reproductive Technologies
Background:
- The primary goal of in vitro fertilization (IVF) is a healthy live-born infant, yet predicting cycle outcomes remains challenging.
- Traditional embryo assessment relies on subjective morphological evaluation, leading to variability and suboptimal success rates.
- Current methods like multiple embryo transfer increase risks of high-order pregnancies, while newer technologies offer limited improvements.
Purpose of the Study:
- To review recent advancements in artificial intelligence (AI) applications within the embryology laboratory.
- To explore AI's potential to overcome limitations in traditional embryo assessment for improved IVF outcomes.
- To highlight AI's role in providing an objective and automated method for evaluating embryo quality.
Main Methods:
- Review of published studies on artificial intelligence (AI) in embryology and IVF.
- Analysis of AI algorithms designed for automated embryo assessment.
- Synthesis of research investigating AI's impact on IVF success rates and embryo selection.
Main Results:
- AI demonstrates potential as an unbiased and automated tool for embryo assessment in IVF.
- Studies indicate AI can improve the accuracy of embryo quality evaluation compared to subjective methods.
- AI integration in embryology labs is emerging as a strategy to enhance IVF cycle efficiency and success.
Conclusions:
- Artificial intelligence offers a promising solution to enhance embryo selection and improve IVF outcomes.
- AI-driven embryo assessment can reduce inter- and intra-observer variability, leading to more reliable results.
- Further research and implementation of AI in embryology laboratories are crucial for advancing reproductive technologies.
