AI-Powered Embryo Selection is revolutionized: A Review

Abstract

The emergence of Artificial Intelligence (AI) in embryology has given rise to a broad spectrum of ethical issues that demand thorough examination and careful deliberation. This research examines the ethical challenges posed by the integration of Artificial Intelligence (AI), specifically Deep Learning (DL) in various aspects of embryological management, namely, screening, diagnosis, classification, grading, prognosis, therapy response, precision medicine. Life Whisperer employs artificial intelligence (AI) to enhance the precision of embryo selection in in vitro fertilization (IVF) treatments. This review article discusses the scientific foundation of Life Whisperer's technology, its impact on IVF success rates, clinical outcomes, and ethical considerations. The potential future directions for AI in reproductive medicine are also explored. The Life Whisperer AI model showed a sensitivity of 70.1% for viable embryos while maintaining a specificity of 60.5% for non-viable embryos across three independent blind test sets from different clinics. The weighted overall accuracy in each blind test set was >63%, with a combined accuracy of 64.3% across both viable and non-viable embryos, demonstrating model robustness and generalizability beyond the result expected from chance. Distributions of predictions showed clear separation of correctly and incorrectly classified embryos. Binary comparison of viable/non-viable embryo classification demonstrated an improvement of 24.7% over embryologists’ accuracy (P = 0.047, n = 2, Student’s t test), and 5-band ranking comparison demonstrated an improvement of 42.0% over embryologists (P = 0.028, n = 2, Student’s t test).