Artificial Intelligence as an Innovation in Pregnancy Risk Prediction: A Comparative Study with Conventional Methods

Abstract

Technological advances in the health sector have brought innovations in pregnancy risk screening, one of which is through the use of Artificial Intelligence (AI). AI has great potential in increasing the accuracy of early detection of pregnancy risk by analyzing medical data more quickly and comprehensively. Various studies have shown that AI is able to analyze electronic medical records, ultrasound images, and laboratory results to provide more accurate algorithm-based predictions than conventional methods. The implementation of AI in pregnancy screening also plays a role in supporting medical personnel in making more appropriate decisions and increasing access to information for pregnant women. However, despite its advantages in increasing the efficiency of health services, the implementation of AI still faces various challenges, including algorithm validation, patient data security, and acceptance of technology by health workers and pregnant women. Therefore, further research is needed to examine the long-term effectiveness and implementation strategies of AI in the health system, especially in pregnancy risk screening.