The Mira App: How does Mira predict and confirm ovulation?

Medically reviewed by

Katerina Shkodzik, M.D., OB-GYN

Written by Shelby Hale for Mira |

Last updated on Dec 12th, 2023

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With the help of advanced AI technology, Mira offers a reliable and comprehensive method for not just predicting ovulation, but confirming ovulation as well.

Unlike other methods that rely on single hormone data points, Mira takes a multidimensional approach. It considers a number of factors about each cycle – such as basal body temperature (BBT), cycle characteristics, cervical mucus consistency, hormone levels, mood, and more to offer a personalized and precise fertility map for each user.

When you are just getting started and haven’t tested any hormones yet, Mira builds a basic ovulation prediction. This prediction is based on key cycle characteristics such as your cycle length, variability, the first day of your last period, and your period length.
Once you start testing with the at-home Mira Monitor, Mira uses hormone data to make the most accurate prediction of your fertile window. It’s important to note that Mira’s AI technology doesn’t just rely on one hormone measurement to estimate ovulation. Instead, it looks at your own unique patterns and compares multiple data points. This includes the levels and frequencies of hormone peaks during each cycle, your baseline hormone level, how different hormone peaks relate to each other, patterns from your past cycles, and patterns seen in other users with similar cycles.

By considering all of these factors, Mira’s AI can make a more accurate prediction of your ovulation.

A key advantage of Mira is its collaboration with renowned OB/GYNs who contribute both their medical expertise and practice records to educate the Mira AI algorithm. This ensures that the app’s predictions align with established medical guidelines and best practices.

Mira’s algorithms have been trained and optimized using a dataset of over 10 million hormone data points and counting. This extensive data enables Mira’s AI technology to continuously learn and improve its predictions.

As a result, of all the Mira users trying to conceive (TTC), 84% successfully conceived within the first 6 cycles of using Mira.

This data is not only for the ‘healthy’ or ‘regular’ cycles, but it also reflects challenging cases involving polycystic ovary syndrome (PCOS), hormone imbalances, a history of miscarriage, and irregular cycles. The ability to provide accurate and reliable ovulation prediction through Mira makes these successful outcomes possible – which is why over 100,000+ individuals have chosen Mira as a tool to help monitor their reproductive health.

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