Across seven U.S. IVF centers, AI-supported embryo assessment achieved a 72.9% clinical pregnancy rate as compared to 68% clinical pregnancy rate with traditional morphology-based selection.
As patient expectations and workforce pressure reshape IVF care delivery, AI-driven engagement becomes embedded across intake, coordination, and ongoing care
Studies show that automation in IVF can not only improve efficiency but also potentially improve outcomes as demand increases and labor shortages persist.
