The artificial intelligence platform for automated embryonic assessment, aneuploidy detection, and live-birth prediction (IMAGE)

Chinese Medical Journals Publishing House Co., Ltd.

The artificial intelligence platform for automated embryonic assessment, aneuploidy detection, and live-birth prediction

Caption

The schematic outlines the development and validation of an AI model for evaluating in vitro-fertilized human embryos. It utilizes images captured at specific time points post-insemination (Day 1 and Day 3) and includes clinical metadata like maternal age and BMI for image-based learning. The system comprises four modules: grading embryo morphology, predicting blastocyst formation, determining embryo ploidy (euploid vs. aneuploid), and predicting live birth occurrence.

Credit

Ling Sun from Guangzhou Medical University, Guangzhou, Guangdong, China Image Source Link: https://journals.lww.com/cmj/fulltext/9900/artificial_intelligence_system_for_outcome.1145.aspx

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