<?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>Iran Medical Council</PublisherName>
				<JournalTitle>Journal of Iranian Medical Council</JournalTitle>
				<Issn>2645-338X</Issn>
				<Volume>9</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>07</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A Future Without Human Error? A Critical Look at AI’s Growing Influence in Medical Education</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>789</FirstPage>
			<LastPage>791</LastPage>
			<ELocationID EIdType="pii">245117</ELocationID>
			
<ELocationID EIdType="doi">10.18502/jimc.v9i3.21840</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Samane</FirstName>
					<LastName>Ghasemi</LastName>
<Affiliation>Medical Education Research Center, Department of Medical Education, Isfahan University of Medical Sciences, Isfahan, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Sohrab</FirstName>
					<LastName>Nosrati</LastName>
<Affiliation>Center for Educational Research in Medical Sciences (CERMS), Department of Medical Education, School of Medicine, Iran University of Medical Sciences, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>07</Month>
					<Day>07</Day>
				</PubDate>
			</History>
		<Abstract>In recent years, we have witnessed the rapid integration of Artificial Intelligence (AI) into medical education. From adaptive learning platforms and AI-powered virtual simulations to algorithm-based assessments, these technologies are increasingly reshaping traditional approaches to training future physicians. While these innovations offer clear benefits—such as personalized learning, enhanced accessibility, and real-time feedback (1), they also raise important concerns that warrant closer scrutiny. Can AI truly replace the human depth of clinical education? And at what cost? This letter aims to critically examine the integration of AI in medical education, highlighting both its transformative potential and its possible risks to humanistic and ethical dimensions of clinical training. The discussion is structured around key concerns such as cognitive offloading, algorithmic bias, and the erosion of interpersonal competencies, followed by a set of practical recommendations for educators and policymakers.&lt;br&gt;AI excels at pattern recognition and processing vast amounts of data. Large language models like ChatGPT can assist students in summarizing resources, answering clinical questions, and even generating treatment plans (2). However, medical education is not merely the transmission of information; it is the cultivation of critical thinking, ethical judgment, and human empathy in the context of patient care (3). Can algorithms truly foster these nuanced competencies?</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Artificial Intelligence in Medical Education</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Algorithmic Bias</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">clinical reasoning</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.jimc.ir/article_245117_27353dbfaeabd15a530533f2b36b9620.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
