<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Article Tag Suite 1.1//EN"
  "https://jats.nlm.nih.gov/publishing/1.1/JATS-journalpublishing1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink"
         xmlns:mml="http://www.w3.org/1998/Math/MathML"
         article-type="research-article"
         xml:lang="en">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>British Journal of Medical and Health Research</journal-title>
        <abbrev-journal-title abbrev-type="publisher">BJMHR</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">2394-2967</issn>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.46624/bjmhr.2019.v6.i09.002</article-id>
      <article-id pub-id-type="publisher-id">BJMHR0609002</article-id>
      <title-group>
        <article-title>The role of Artificial Intelligence in Pharmacovigilance: A Means to Identify Intellectual Services</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>D</surname>
            <given-names>Saripadiya Nimesh</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
      </contrib-group>
      <aff id="aff1">APCER life science, Ahmedabad, Gujarat:3800 15, India.</aff>
      <pub-date pub-type="epub" iso-8601-date="2019-09-01">
        <month>09</month>
        <day>01</day>
        <year>2019</year>
      </pub-date>
      <volume>6</volume>
      <issue>9</issue>
      <abstract>
        <p>The healthcare industry, and explicitly the pharmacovigilance business, perceives the need to help the expanding measure of information got from individual case safety reports (ICSRs). To adapt to this expansion, more healthcare and qualified experts are required to catch and assess the information. To address the advancing scene, it will be important to hold onto assistive advancements, for example, artificial intelligence (AI) at scale. artificial intelligence in the field of pharmacovigilance will conceivably bring about the change of the drug safety (DS) expert&apos;s everyday work life and their vocation advancement.</p>
      </abstract>
      <kwd-group kwd-group-type="author">
        <kwd>Artificial intelligence</kwd>
        <kwd>drug safety.</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <!-- Full article body not available in metadata-only JATS export. See PDF/HTML galley. -->
  </body>
  <back/>
</article>
