Figure 1.

Utility of quantitative models in reproductive medicine. This flowchart provides an overview of the workflow of quantitative modelling in reproductive medicine. The first step involves the collection of data, such as hormonal and imaging data. Mathematical models aid the analysis of the data, facilitating extraction of meaningful information. Furthermore, processed data can be used to develop machine learning models with the aim of optimizing current procedures and protocols. The workflow is iterative, enabling continuous model evaluation and improvement.