Artificial Intelligence for Human Fertility: Trends, Insights, and Predictions

Sinopse

This book studies reasons behind the dramatic decline in total fertility rate (TFR), whichnbsp;has dropped to half of its previous levels. A major factor contributing to this trend is thenbsp;widespread lack of recognition of fertility issues as a medical concern, compounded bynbsp;insufficient societal awareness. To better understand the dynamics of human reproduction,nbsp;this book identifies various factors that influence fertility, including the male and femalenbsp;reproductive systems, lifestyle choices, career demands, societal pressures, environmentalnbsp;factors, and personal habits (e.g., millennials).nbsp;Central to this understanding is the collection of vast amounts of data, for which AInbsp;algorithms play a crucial role. The book studies how AI can help predict fertility outcomesnbsp;by analyzing diverse datasets for both male and female populations. It also discusses thenbsp;growing reliance on assisted reproductive technologies, despite their high costs andnbsp;inconsistent success rates, and how AI can assist in predicting these success rates to ease thenbsp;financial burden on patients. The primary goal of this book is to highlight how (explainable)nbsp;AI can become a powerful tool in predicting human fertility. Ultimately, it aims at raisingnbsp;the global TFR and addressing the challenges posed by declining fertility rates around thenbsp;world.