Andreia Trigo, Dimitris Kavakas, Karenna Woods, Bola Grace
Abstract
It has been over 40 years since the birth of the first IVF baby and since then, rapid advances in assisted reproductive technology have taken place. Technology has evolved, facilitating microfertilisation, cryopreservation with higher thawing survival rates and embryo monitoring and selection. Despite these advances, take home baby rates remain low (approximately 20%).
In this chapter we reflect on the new emerging era of Artificial Intelligence and Machine Learning solutions that can interpret large health data sets. This has the potential to be the next significant advancement within reproductive medicine, particularly in the areas of triage, screening, and diagnosis, predicted outcomes, personalised treatment and monitoring, and imaging interpretation.
In the patient care and support sector, telehealth, telemedicine, mobile apps, connected devices, wearables and trackables also herald a new era in patient engagement that cannot be underestimated.