2024
DOI: 10.1177/13505068241258053
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Artificial intelligence and assisted reproductive technology: Applying a reproductive justice lens

Riikka Homanen,
Neil McBride,
Nicky Hudson

Abstract: In recent years, health-data-driven artificial intelligence and machine learning applications have been introduced to many areas of medicine. In the field of assisted reproduction, artificial intelligence and machine learning applications and related technologies have been hailed as (potentially) significant and ground-breaking, not least because they promise standardisation and automation in in-vitro fertilisation clinics – a precondition for scaling up and branching out in the fertility bioindustry. Artifici… Show more

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