Abstract

Artificial intelligence (AI) is transforming neonatal healthcare by addressing critical challenges such as early diagnosis, intensive care monitoring, and personalized treatments. AI-powered algorithms are being utilized to predict preterm births, detect neonatal conditions like sepsis and hypoxia, and enhance diagnostic accuracy through advanced medical imaging techniques. In neonatal intensive care units (NICUs), AI systems optimize monitoring by providing real-time alerts for potential complications, reducing mortality rates. Additionally, AI supports personalized medicine by tailoring treatments to individual neonates’ genetic and physiological profiles, improving outcomes and minimizing risks. Despite these advancements, challenges persist, including data limitations, ethical concerns, and resistance to integration within healthcare systems. This paper explores AI’s applications, benefits, and challenges in neonatal care while presenting real-world implementations and future directions. By bridging the gap between technology and medicine, AI has the potential to revolutionize neonatal healthcare, ensuring better survival and quality of life for vulnerable newborns.