<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Shahid Sadoughi University of Medical Sciences</PublisherName>
				<JournalTitle>Journal of Integrated Maternal and Pediatric Care</JournalTitle>
				<Issn>3134-0792</Issn>
				<Volume>7</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>10</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>AI in Maternal and Neonatal Medicine: Tool, Not Replacement</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>56</FirstPage>
			<LastPage>57</LastPage>
			<ELocationID EIdType="pii">475</ELocationID>
			
<ELocationID EIdType="doi">10.18502/wjpn.v7i2.20445</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mahta</FirstName>
					<LastName>Mazaheri</LastName>
<Affiliation>Mother and Newborn Health Research Center, Comprehensive Research Institute for Maternal and Child Health, Shahid Sadoughi University of Medical Sciences,Yazd, Iran</Affiliation>
<Identifier Source="ORCID">0000-0003-4164-3400</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>12</Month>
					<Day>31</Day>
				</PubDate>
			</History>
		    <Abstract>Artificial intelligence (AI) applications are rising in scientific writing, research, and clinical studies. However, the application of AI in scientific research has both positive and negative aspects. In maternal and neonatal studies, AI algorithms are able to identify complicated patterns and predict the risks of occurrences such as preeclampsia or neonatal sepsis. However, no predictive model or computer program has the ability to replace clinical expertise, experience, or emotional understanding. The issues of ethics and law, which relate to aspects such as data privacy, accountability, and bias, should be addressed. The issue addressed in this editorial pertains to adopting a balanced perspective regarding the use of AI in scientific research.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Artificial intelligence</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Ethics</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Infant</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Peer Review</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jimpc.ssu.ac.ir/article_475_5ef0b4eba35ab2d6180b0bca7e46b6f9.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
