Fertilidad Integral: A pioneer in Latin America with AI-driven embryo selection

At Fertilidad Integral, we know that every technical detail can make a significant difference in the experience of those who choose us. That is why we are proud to share that we have implemented Embryo Predict™, the AI solution developed by Alife Health, making us the first international clinic outside the United States to adopt this advanced technology.

What is AI-powered embryo selection technology?

This system, based on deep learning ¹, connects directly to our laboratory equipment. It analyzes embryo morphology, day of development, patient age, and egg source to generate a personalized implantation score ², supporting our team in making a more objective and standardized selection (MDPI, 2023).

This represents a decisive step toward greater efficiency in our laboratory process, involving better communication with patients and a more transparent, reliable experience for those undergoing fertility treatment.

Why is this innovation relevant?

According to a study published by Scientific Reports, AI systems have been shown to outperform human assessments in accuracy when grading embryos, improving consistency and reducing the margin of subjective error.

Furthermore, recent research has confirmed that combining AI with time-lapse technology³ (which records the entire development of the embryo on video) allows for more informed decision-making, as it captures events that might go unnoticed during traditional observations (Frontiers in Reproductive Health, 2025).

What does it mean that we have this technology?

As part of our philosophy at Fertilidad Integral, this technological integration empowers our embryologists and physicians to provide comprehensive, science-based support at every step of your journey.

With Embryo Predict™, we can now offer:

a) Clearer reports for patients, explaining why an embryo was selected and which factors were considered.

b) More secure internal audits, thanks to the documented history of every step in the laboratory.

c) Greater efficiency in prioritizing embryos with the best potential for implantation and achieving a pregnancy.

What is the future outlook for this new Embryo Predict technology?

According to Alife Health, the use of artificial intelligence in embryo selection, such as the Embryo Predict™ technology, has the potential to transform fertility treatment by making it more precise, personalized, and efficient. This tool will allow clinics to improve embryo implantation rates, reduce treatment times, and facilitate more informed clinical decisions, thanks to prediction models based on real, scalable data (2024).

Furthermore, incorporating AI as a decision-support tool opens the door to more standardized, transparent, and accessible reproductive medicine, where patients can receive clear explanations as to why each embryo is chosen. Alife Health projects that this technology does not replace human expertise, but rather enhances it by providing information that improves the quality of care and elevates the experience of those navigating fertility treatments with hope and confidence.

At Fertilidad Integral, we move forward with purpose…

At Fertilidad Integral, we firmly believe in innovation with responsibility, transparency, and a patient-centered approach. Every technological step we integrate is backed by evidence and ethical guidance.

Today, we reaffirm our commitment to always being one step ahead in the clinical, scientific, and human experience. By incorporating Embryo Predict™, we not only raise the technical standard of embryo selection, but we also demonstrate our commitment to every person who chooses to trust us to take that first step.

Do you have questions about how this process works?

Write to us or book a consultation at fertilidad.com

¹ Deep learning: a subset of machine learning that uses artificial neural networks with multiple layers to analyze data and learn patterns in a way similar to the human brain.

²Implantation score: also known as blastocyst scoring, this is an evaluation system used in in vitro fertilization to determine the likelihood that an embryo will successfully implant in the uterus.

³ Time-lapse technology: Used to improve the results of in vitro fertilization (IVF) techniques, it allows for the analysis of complete embryonic development through video, without removing them from the incubator.

References

- Alife Health. (2024, July 17). Fertilidad Integral becomes first international fertility clinic to implement Alife's AI technology.https://www.alifehealth.com/press/fertilidad-integral/
- Frontiers in Reproductive Health. (2025). Artificial intelligence and embryo assessment: new frontiers in reproductive medicine, 2(3), 1520919. https://www.frontiersin.org/journals/reproductive-health/articles/10.3389/frph.2025.1520919/full
- MDPI. (2023). Artificial Intelligence in Embryo Selection: A Multicenter Validation Study, 7(2), 56. https://www.mdpi.com/2504-4990/7/2/56
- Nature. (2025). Predicting embryo viability with deep learning algorithms,Scientific Reports, 15(11810). https://www.nature.com/articles/s41598-025-11810-4
- ScienceDirect. (2024). AI-driven models for embryo selection in IVF clinics. https://www.sciencedirect.com/science/article/pii/S1028455924002742
- The Washington Post. (July 16, 2025). Inside the Silicon Valley push to breed super-babies.https://www.washingtonpost.com/technology/2025/07/16/orchid-polygenic-screening-embryos-fertility/
- The Wall Street Journal. (June 5, 2025). Longevity Is Now a Factor When Picking an Embryo for IVF.https://www.wsj.com/health/embryo-ivf-screening-longevity-2b1f096a

‍