Figure 2.

Potential AI-based interventions during IVFtreatment. This pipeline outlines the processes carried out during IVF treatment cycles, where interventions using AI and ML techniques could be used to support clinical decision-making. The references provided at each stage indicate literature exploring efforts in quantitative modelling of these stages. The four stages in the figure above correspond to the numbered sections under ‘AI to support decision-making in in vitro fertilization’. Of the four stages presented, the first three pertain endocrinological interventions, where optimizations with respect to dose and timing are of value.