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    <journal-meta>
      <journal-id journal-id-type="nlm-ta">REA Press</journal-id>
      <journal-id journal-id-type="publisher-id">null</journal-id>
      <journal-title>REA Press</journal-title><issn pub-type="ppub">3042-1306</issn><issn pub-type="epub">3042-1306</issn><publisher>
      	<publisher-name>REA Press</publisher-name>
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    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.22105/thi.vi.43</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Artificial intelligence in medicine, Smart medical equipment, Iran healthcare system, Digital transformation in healthcare</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Artificial intelligence: Digital transformation in hospital medical equipment and its future outlook in Iran</article-title><subtitle>Artificial intelligence: Digital transformation in hospital medical equipment and its future outlook in Iran</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Asadi</surname>
		<given-names>Boroumand </given-names>
	</name>
	<aff>Technical Affairs Office, Mazandaran University of Medical Sciences, Sari, Iran.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>09</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>11</day>
        <month>09</month>
        <year>2025</year>
      </pub-date>
      <volume>2</volume>
      <issue>3</issue>
      <permissions>
        <copyright-statement>© 2025 REA Press</copyright-statement>
        <copyright-year>2025</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.5/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p></license>
      </permissions>
      <related-article related-article-type="companion" vol="2" page="e235" id="RA1" ext-link-type="pmc">
			<article-title>Artificial intelligence: Digital transformation in hospital medical equipment and its future outlook in Iran</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			Artificial Intelligence (AI) is transforming the landscape of healthcare systems, particularly in the field of medical equipment. With its capability to analyze complex datasets, this technology holds significant potential to enhance diagnostic accuracy, improve operational efficiency, and elevate the quality of clinical care in Iran. Key applications of AI in medical equipment include improving medical image analysis for early disease detection, increasing precision and reducing invasiveness in robotic surgeries, providing clinical decision support to physicians through patient data analysis, and continuously monitoring patients’ conditions to predict and prevent clinical deterioration. AI also plays a critical role in accelerating drug research and development processes. Despite extensive opportunities for localization, cost optimization, and improved access to healthcare services, the implementation of this technology in Iran faces several challenges, including the need for robust technical infrastructure, the development of clear ethical and legal regulations, a shortage of skilled professionals, and potential resistance to change. Overcoming these barriers through investment in research and development, education, and the establishment of supportive frameworks will pave the way for fully leveraging the potential of AI in modernizing Iran’s healthcare system.
		</p>
		</abstract>
    </article-meta>
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