Liang Wang, He Cui
Identification and classification of urban employment centers based on big data: A case study of Beijing
PloS one
implementation artificial intelligence ai healthcare enhancing diagnostic accuracy clinical setups use ai healthcare steadily increasing advancing technology extending beyond disease diagnosis encompass roles fetomaternal health ai harnesses machine learning ml natural language processing nlp artificial neural networks ann computer vision analyze data draw conclusions considering maternal health ml analyzes vast datasets predict maternal fetal health outcomes nlp interprets medical texts patient records assist diagnosis treatment decisions ann models identify patterns complex fetomaternal medical data aiding risk assessment intervention planning whereas computer vision enables analysis medical images early detection fetomaternal complications ai facilitates early pregnancy detection genetic screening continuous monitoring maternal health parameters providing realtime alerts deviations also playing crucial role early detection fetal abnormalities enhanced ultrasound imaging contributing informed decisionmaking review investigates application ai particularly predictive models addressing monitoring fetomaternal health additionally examines potential future directions challenges associated applications