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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JPSIM</journal-id>
      <journal-title-group>
        <journal-title>Journal of Pakistan Society of Internal Medicine</journal-title>
        <abbrev-title>J Pak Soc Intern Med</abbrev-title>
      </journal-title-group>
      <issn publication-format="print">2709-8729</issn>
      <issn publication-format="electronic">2710-0804</issn>
      <publisher>
        <publisher-name>Pakistan Society of Internal Medicine</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.70302/jpsim.v4i4.2369</article-id>
      <article-id pub-id-type="publisher-id">jpsim.v4i4.2369</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Digital Health</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Transformative Innovation in Healthcare by Artificial Intelligence: Stay ahead and be part of Transformative Innovation of AI</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Chughtai</surname>
            <given-names>Suhail</given-names>
          </name>
          <email>suhailzb@gmail.com</email>
          <xref ref-type="aff" rid="aff1"/>
          <xref ref-type="corresp" rid="cor1">*</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <institution>Consultant Orthopaedic Surgeon (locum) &amp; Medico-Legal Examiner, London, UK Microsoft Certified Specialist &amp; Telehealth/AI Software Designer</institution>
      </aff>
      <author-notes>
        <corresp id="cor1">*Correspondence: Suhail Chughtai (suhailzb@gmail.com)</corresp>
      </author-notes>
      <pub-date date-type="pub" publication-format="electronic" iso-8601-date="2023-11-29">
        <day>29</day>
        <month>11</month>
        <year>2023</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <year>2023</year>
      </pub-date>
      <volume>4</volume>
      <issue>4</issue>
      <fpage>336</fpage>
      <lpage>340</lpage>
      <history>
        <date date-type="received" iso-8601-date="2023-08-21">
          <day>21</day>
          <month>08</month>
          <year>2023</year>
        </date>
        <date date-type="accepted" iso-8601-date="2023-09-03">
          <day>03</day>
          <month>09</month>
          <year>2023</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Copyright © 2023 The Author(s)</copyright-statement>
        <copyright-year>2023</copyright-year>
        <copyright-holder>The Author(s)</copyright-holder>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
          <ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
          <license-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.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="https://psimj.com/article/jpsim.v4i4.2369" content-type="text/html"/>
      <self-uri xlink:href="https://psimj.com/article/jpsim.v4i4.2369.pdf" content-type="application/pdf"/>
      <abstract>
        <p>The author explores how artificial intelligence is transforming healthcare across domains like access, quality, telehealth, mobile health, remote monitoring, robotics, training, ethical considerations and more. This article explores how artificial intelligence is transforming healthcare across multiple domains. It highlights the immense potential of AI innovations to augment human clinicians, personalize care to each patient's needs, enhance clinical skills training through immersive simulations, and streamline cumbersome workflows. These breakthroughs are enabled by progress in core AI techniques like machine learning, computer vision, natural language processing and generative modelling. TheAuthor expresses his belief that if applied thoughtfully,AI could help improve population health outcomes on a global scale by catching diseases earlier, optimizing treatment plans, expanding access to quality care, and promoting preventative health behaviours. However, effective governance frameworks and ethics policies are critically needed to ensure this transformative technology fulfils its promise equitably and ethically.</p>
      </abstract>
    </article-meta>
  </front>
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</article>
