Artificial Intelligence (AI) is making a dynamic entrance into the field of Assisted Reproduction (IVF), revolutionizing the fertilization processes and enhancing success rates. This modern technology, which incorporates machine learning algorithms and image analysis, helps in the more precise evaluation and selection of the most suitable embryos and sperm, increasing pregnancy chances and reducing the time and costs of treatments.
Σύστημα ERICA – Embryo Ranking Intelligent Classification Algorithm
One of the most innovative AI systems in assisted reproduction is ERICA (Embryo Ranking Intelligent Classification Algorithm). This system utilizes advanced technologies to analyze more than 20 parameters for each embryo, many of which are invisible to the human eye.
The main function of ERICA is to optimize the embryo selection process during embryo transfer, with the aim of selecting the most suitable embryo for implantation. The system ranks embryos according to their viability, identifying which has the highest implantation potential in the mother's endometrium, thus increasing the chances of a successful pregnancy.
By using ERICA, the embryologist's job is significantly facilitated, as it detects the most important parameters for each embryo from just a few images. The ERICA system compares these images with the large and continuously growing database of cases collected over the years, learning and improving its accuracy in an intelligent way.
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CHLOE OQ – The Revolutionary Technology in Oocyte Cryopreservation
CHLOE OQ is the most advanced Artificial Intelligence technology in oocyte cryopreservation, providing for the first time a comprehensive and accurate analysis of the collected eggs.
CHLOE OQ analyzes and ranks the eggs based on multiple parameters, offering fertility specialists an accurate assessment of their potential. The main features include:
- Oocyte Evaluation and Scoring: The system examines the quality and morphological characteristics of each egg individually, recording significant biological markers related to their viability.
- Blastocyst Development Probability Estimation: It provides percentage probabilities for the development of embryos to the blastocyst stage (5th - 6th day), thus improving the process of selecting the healthiest eggs.
- Probability of Having a Child: It uses data from thousands of IVF cases to provide accurate success probabilities for pregnancy per egg, as well as overall for the treatment.
Innovative Sperm Selection with Artificial Intelligence – SID
The introduction of Artificial Intelligence systems for selecting the appropriate sperm is one of the most innovative steps in the IVF revolution. Fertilization largely depends on sperm quality, and Artificial Intelligence offers the ability to precisely select the healthiest and most viable sperm, ensuring higher chances of success.
This system analyzes sperm morphology and motility, providing embryologists with an additional tool for selecting the best sperm, thus increasing fertilization success rates. The use of this technology enhances the precision of the process, leading to better outcomes.
Benefits of Artificial Intelligence in IVF: Improving Results and Accuracy
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Increased Accuracy and Success
AI algorithms allow for more precise evaluation of embryos and sperm, boosting IVF success rates and reducing failures.
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Personalization of Treatment
AI enables doctors to tailor treatments to the needs of each couple based on data analysis results, leading to better and more personalized decisions.
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Increased Efficiency
This technology saves time and resources, speeding up the process and reducing treatment costs without sacrificing the quality of the results.
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Enhanced Support for Patients
The technology provides patients with additional information about success probabilities.