Embedding AI into IVF pathways is the future of family planning
AI Innovations that Bridge the
Fertility to Family Experience
Computer vision approaches can create a lasting memory for parents-to-be, as well as another source of annotated data for medical records.
Computer vision approaches can create a lasting memory for parents-to-be...
as well as another source of annotated data for medical records.
Product: AI-annotated Imaging for Fertility Journey
Goal: AI-annotated Imaging Interface for Fertility Journey
1. What we hope to achieve: Through our "informed imaging" interface, developed with the Lister Hospital in London, we hope to bridge the gap between health care providers, parents to be, cutting edge researchers predicting fertility and child outcomes from earlier data.
2. Who we are: We are a team of researchers funded by University of Cambridge to deploy computer vision and artificial intelligence to identify predictors of successful pregnancies and healthy infant development.
Revolutionising the Future of Families
3. How we hope to accomplish it: By annotating own parent's medical images with features known to predict perinatal outcomes, we hope to create a visual roadmap for parents-to-be guiding them along their fertility journey.
