Automated image analysis identifies complex patterns in stem cell-derived models that human observers miss. This approach leverages computer vision to quantify cellular morphology and differentiation. Researchers can now accelerate drug screening by replacing manual counting with high-throughput AI pipelines. It is an incremental but necessary step for scalable biological research.