This study explored whether AI can predict fetal heartbeat in frozen-thawed embryos using post-warming time-lapse images and videos. A positive correlation was found between AI scores and fetal heartbeat outcomes, with the best results in non-genetically tested embryos. Prediction accuracy reached up to 74% in optimal conditions. AI outperformed traditional morphology assessments and identified embryos with poor re-expansion. These findings suggest AI could improve embryo selection in frozen cycles.