Fertility Forecasting with AI

Published in

AIME Systems

5 min readSep 19, 2024

In today’s world, where AI is revolutionizing industries from finance to entertainment, healthcare is beginning to witness its transformative impact, albeit cautiously due to regulatory and ethical considerations. One of the most profound areas AI is touching is fertility treatment. The journey to parenthood can be challenging for many couples, and AI may offer them a solution -one that moves beyond the traditionally difficult, expensive, and emotionally draining processes involved in conception.

Background

Infertility is a prevalent issue, with approximately 15–20% of couples in the U.S. seeking medical evaluation and treatment at fertility clinics [1]. These treatments can range from hormone therapy to in vitro fertilization (IVF), which costs around $20,000 per cycle (median) [2]. The emotional toll can be just as taxing, if not more so. Yet, AI offers a unique opportunity to not only optimize fertility treatments but to empower couples to take control of their fertility journey.

How AI Can Transform Fertility Treatment

AI’s main strengths in healthcare — forecasting, anomaly detection, pattern recognition, and personalization — can be particularly beneficial in the field of fertility:

Forecasting: Predicting a couple’s likelihood of conceiving can be improved by analyzing large datasets that include critical factors such as age, hormonal levels, reproductive health history, and previous fertility treatment outcomes. By leveraging this data, AI can generate predictive models that offer insights into the most effective treatment plans. This allows doctors and couples to make data-driven decisions about the best course of action, optimizing the chances of successful conception.
Anomaly Detection: Detect early symptoms and physiological changes in a woman’s body during and before the conception period, identifying potential risks that could lead to pregnancy failure. By recognizing these anomalies early, AI systems can prompt timely medical intervention, minimizing the likelihood of complications and improving the chances of a successful pregnancy.
Pattern Recognition: Recognize complex patterns in biological data, such as recurring symptoms or hormonal fluctuations across menstrual cycles, to better understand individual fertility profiles. For example, if AI detects that a woman consistently experiences headaches on day 16 of her cycle, it could flag this pattern, suggesting that it may be related to hormone levels or other physiological changes occurring during the luteal phase. By highlighting such patterns, AI can offer valuable insights, helping couples optimize their conception efforts or identify potential issues to discuss with healthcare providers.
Personalization: provide personalized fertility advice based on medical history, lifestyle data, and genetic information, offering couples the best possible treatment pathway and reducing the risk of side effects.

AIME Fertility: Harnessing AI for a Better Future

AIME Fertility is a digital platform that leverages AI to support couples on their fertility journey. At first glance, it may seem like just another period-tracking app, but it is much more than that. AIME Fertility aims to forecast and optimize conception by collecting user data, tracking sexual activity, monitoring female health metrics, and recommending actions that maximize fertility potential.

AIME Fertility also introduces tailored questionnaires and activity tracking to learn about each couple’s unique circumstances. Whether it’s sleep patterns, BMI, exercise routines, or even stress levels, the app helps couples better understand how their lifestyle might be impacting their chances of conception.

Through monthly reports, couples can track their activities, symptoms, and other key health indicators, which are then processed by deep learning models to predict the next fertility window. Additionally, the system can detect any health issues that might affect pregnancy chances and offer personalized advice for improving fertility outcomes.

Bridging the Gap Between AI and Fertility Clinics

If a couple struggles to conceive even after following the app’s recommendations, AIME Fertility can act as a bridge between them and fertility specialists. The app’s data-driven reports can highlight patterns that could explain infertility issues, which can then be shared with doctors to inform the next steps in treatment. For example, if a male partner’s body mass index (BMI) is too high or if the female partner smokes, the app can detect and flag these issues for intervention, potentially avoiding costly and unnecessary treatments.

This synergy between AI and healthcare professionals could be the missing piece in improving fertility treatments and outcomes.

It’s important to note that AIME Fertility is currently in its MVP stage (Minimum Viable Product) and is available as a beta version on Google Play and the iOS App Store. The app is free to use in several countries during this phase, and the team behind AIME plans to transition to a freemium model in the future.

While AIME is gathering anonymous user data to improve its AI algorithms in the future, creating a detailed profile with personal identifiers is unnecessary. The app focuses on learning from the collective data to better understand fertility patterns while maintaining user privacy.

Conclusions

The science of fertility and infertility is vast, with many known and unknown variables influencing conception. AIME Fertility, by AIME Systems, is a step toward empowering couples with knowledge about their own bodies, potentially leading to successful pregnancies. By combining the power of AI with fertility science, AIME Fertility aims to reduce the frustration and emotional toll of infertility, while also contributing to a brighter future by helping more people achieve their dream of starting a family.

AIME Systems is on a mission to make the world a better place, helping to increase population while minimizing the suffering associated with infertility. With AI as a partner, the future of fertility looks brighter than ever.