AI in Reproductive Biology: Transforming Fertility Assessment, ART, and Research
Shilpa Doultani, Prachi Sharma, Prateek Makwana, S.P Patil, S.S Layek, L.B. George, H.N. Highland, K.K. Hadiya
Annual Research & Review in Biology · pp. 147–158 · Published 5 Sep 2024
10.9734/arrb/2024/v39i92129Abstract
Artificial Intelligence (AI) is revolutionizing reproductive biology, transforming fertility assessment, assisted reproductive technologies (ART), and research practices. This review explores AI's impact, highlighting its potential to enhance personalized care and advance scientific understanding. In fertility assessment, AI algorithms analyze vast datasets to predict treatment success, enabling clinicians to tailor personalized treatment plans. In ART, AI improves embryo selection during in vitro fertilization (IVF) by providing objective, data-driven criteria, reducing variability, and increasing success rates.AI also optimizes laboratory workflows, automating tasks such as data analysis and interpretation, enhancing efficiency, and minimizing human error. In research, AI accelerates data analysis, facilitates knowledge discovery, and enables predictive modeling, driving innovation in reproductive biology. However, AI's integration raises ethical concerns, including patient autonomy, informed consent, and data security. Collaborative efforts among stakeholders are essential to ensure responsible AI use, balancing innovation with ethical considerations. This review examines AI's transformative potential in reproductive biology, technological advancements, and the ethical landscape, envisioning a future where AI positively impacts reproductive health and clinical practice.
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