AI-ML-Enabled Clinical Decisions for Pregnant Women and their Doctors with Special Attention to International Legal Aspects

• Main Authors: Patil, Priya, Bahuguna, Rajesh, Memoria, Minakshi
• Format: Conference Proceeding
• Language: English
• Subjects: ANN; Artificial intelligence; Law; Machine Learning; Maternity; Maternity Protection Convention; Medical diagnostic imaging; Medical services; Pediatrics; PNDT; Preeclampsia; Pregnancy; RBF; Software
• ISSN: 2687-7767
• DOI: 10.1109/UPCON59197.2023.10434549

The utilization of AI and machine learning (ML) algorithms in the field of maternity care has proven to be highly effective. This study assesses the application of AI in the field of women's health, specifically examining its integration into clinical decision-making processes. Additionally, it explores the present state of maternal health and the well-being of unborn children. The writers admit that the issues of female feticide, illegal abortion, and hazardous delivery are of utmost importance and have been the focus of attention by numerous states and the global community. The aforementioned publications encompassed a variety of topics pertaining to pregnancy and the transdisciplinary uses of artificial intelligence. There is a limited body of research pertaining to the intersection of pregnancy, artificial intelligence (AI), and pharmacology. As a result, we undertake a meticulous examination of these works. The research investigations have limitations in terms of the approaches and frameworks presented, which restricts their generalizability. Our analysis of the use of artificial intelligence (AI) in maternal health includes the examination of preconception, prenatal, perinatal, and postnatal medical difficulties. Furthermore, we examined the legal dimensions that were addressed on both an international and national level by several countries, such as India.