The Role of AI and Machine Learning in Revolutionizing Prenatal Screening and Genetic Analysis

rtificial Intelligence (AI) and Machine Learning (ML) are at the forefront of innovations in medical diagnostics, including prenatal screening and genetic analysis. The development of advanced algorithms, data processing capabilities, and predictive modeling has significantly enhanced the sensitivity, specificity, and accuracy of non-invasive prenatal testing (NIPT). This article explores recent advancements in AI- driven prenatal screening, the methodologies employed, and the future potential of AI in predictive prenatal health diagnostics, with a particular focus on improving genetic disorder detection and fetal health outcomes. The role of ethical considerations in AI-driven diagnostics is also discussed.