Vol. 7, Issue 1, Part A (2025)

The field of Obstetrics and Gynecology (OB/GYN) undergoes rapid transformation through Artificial Intelligence (AI) because it improves diagnostic precision while delivering better patient care and creating individualized treatment strategies. The research examines AI applications in OB/GYN through present uses and anticipated developments for prenatal imaging and fetal monitoring and assisted reproductive technology (ART) and gynecological cancer detection and robotic surgery. The combination of machine learning algorithms and image recognition tools enables clinicians to better interpret ultrasounds and cardiotocography and non-invasive prenatal testing (NIPT) which leads to faster and more precise medical diagnoses. AI-powered telemedicine systems with remote monitoring capabilities provide continuous healthcare access to pregnant women who live in underserved or distant locations. The upcoming developments in personalized medicine through AI will transform OB/GYN practices by using genetic profiles together with environmental factors and individual health data to create optimized treatment plans for fertility and pregnancy and gynecological conditions. The detection of hereditary cancers and gynecological diseases at early stages will be possible through AI systems which use genomics and biomarkers. The widespread use of AI in OB/GYN needs solutions for ethical and regulatory matters such as data privacy protection and algorithmic bias detection and informed consent procedures. The integration of evolving AI technologies into OB/GYN practices will lead to improved healthcare efficiency and equity which will result in better maternal and fetal health outcomes. This review aims to demonstrate the current state of AI applications in OB/GYN together with their ability to transform healthcare delivery and improve patient results and address essential ethical and regulatory concerns.