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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JME</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Med Educ</journal-id>
      <journal-title>JMIR Medical Education</journal-title>
      <issn pub-type="epub">2369-3762</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">v9i1e46876</article-id>
      <article-id pub-id-type="pmid">36867743</article-id>
      <article-id pub-id-type="doi">10.2196/46876</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Letter to the Editor</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Letter to the Editor</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>ChatGPT in Clinical Toxicology</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Eysenbach</surname>
            <given-names>Gunther</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Sabry Abdel-Messih</surname>
            <given-names>Mary</given-names>
          </name>
          <degrees>MBBCh, MSc, MD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0009-0001-3404-0516</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author" corresp="yes" equal-contrib="yes">
          <name name-style="western">
            <surname>Kamel Boulos</surname>
            <given-names>Maged N</given-names>
          </name>
          <degrees>MBBCh, MSc, PhD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <address>
            <institution>School of Medicine</institution>
            <institution>University of Lisbon</institution>
            <addr-line>Av Prof Egas Moniz MB</addr-line>
            <addr-line>Lisbon, 1649-028</addr-line>
            <country>Portugal</country>
            <phone>351 92 053 1573</phone>
            <email>mnkboulos@ieee.org</email>
          </address>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-2400-6303</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Clinical Toxicology Centre</institution>
        <institution>Forensic Medicine and Clinical Toxicology Department, Faculty of Medicine</institution>
        <institution>Ain Shams University</institution>
        <addr-line>Cairo</addr-line>
        <country>Egypt</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>School of Medicine</institution>
        <institution>University of Lisbon</institution>
        <addr-line>Lisbon</addr-line>
        <country>Portugal</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Maged N Kamel Boulos <email>mnkboulos@ieee.org</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2023</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>8</day>
        <month>3</month>
        <year>2023</year>
      </pub-date>
      <volume>9</volume>
      <elocation-id>e46876</elocation-id>
      <history>
        <date date-type="received">
          <day>28</day>
          <month>2</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>3</day>
          <month>3</month>
          <year>2023</year>
        </date>
      </history>
      <copyright-statement>©Mary Sabry Abdel-Messih, Maged N Kamel Boulos. Originally published in JMIR Medical Education (https://mededu.jmir.org), 08.03.2023.</copyright-statement>
      <copyright-year>2023</copyright-year>
      <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
        <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Education, is properly cited. The complete bibliographic information, a link to the original publication on https://mededu.jmir.org/, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://mededu.jmir.org/2023/1/e46876" xlink:type="simple"/>
      <related-article related-article-type="commentary-article" id="v9i1e45312" ext-link-type="doi" xlink:href="10.2196/45312" vol="9" page="e45312" xlink:type="simple">https://mededu.jmir.org/2023/1/e45312</related-article>
      <related-article related-article-type="companion" id="v9i1e46885" ext-link-type="doi" xlink:href="10.2196/46885" vol="9" page="e46885" xlink:title="See also:" xlink:type="simple">https://mededu.jmir.org/2023/1/e46885</related-article>
      <abstract>
        <p>ChatGPT has recently been shown to pass the United States Medical Licensing Examination (USMLE). We tested ChatGPT (Feb 13, 2023 release) using a typical clinical toxicology case of acute organophosphate poisoning. ChatGPT fared well in answering all of our queries regarding it.</p>
      </abstract>
      <kwd-group>
        <kwd>ChatGPT</kwd>
        <kwd>clinical toxicology</kwd>
        <kwd>organophosphates</kwd>
        <kwd>artificial intelligence</kwd>
        <kwd>AI</kwd>
        <kwd>medical education</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <p>Since its public launch on November 30, 2022, ChatGPT, which ironically has not been specifically trained in medicine, has been taking the medical world by storm [<xref ref-type="bibr" rid="ref1">1</xref>-<xref ref-type="bibr" rid="ref3">3</xref>]. Developed by the San Francisco–based OpenAI Inc/LP, ChatGPT is a very large language model that uses deep learning artificial intelligence (AI) techniques to generate human-like responses to natural language queries. It is based on the Generative Pre-trained Transformer 3 (GPT-3 x) architecture, which has been trained on gigantic amounts of data. ChatGPT is currently being integrated into the Microsoft Bing search engine, which will soon make it readily accessible to hundreds of millions of online users worldwide, including patients, medical and nursing students, and clinicians [<xref ref-type="bibr" rid="ref4">4</xref>].</p>
    <p>We tested ChatGPT (Feb 13, 2023, release; standalone, available via OpenAI [<xref ref-type="bibr" rid="ref5">5</xref>]) using a typical clinical toxicology vignette (a case of acute organophosphate poisoning) retrieved from an online presentation [<xref ref-type="bibr" rid="ref6">6</xref>]. The case, as we modified it for and typed it in ChatGPT, as well as ChatGPT’s answer (which followed only a couple of seconds after inputting the case), are shown in <xref rid="figure1" ref-type="fig">Figure 1</xref>. The figure also shows a regenerated ChatGPT response after we pressed the “Regenerate response” button at the bottom of the first ChatGPT answer.</p>
    <p>The clinical case example we used is a very straightforward one, unlikely to be missed by any practitioner in the field, and ChatGPT fared well in answering all of our queries regarding it. Both the first ChatGPT response and the regenerated one were fine and offered good explanations of the underlying reasoning. However, the pressing problem in real life is not one of finding the correct diagnosis but of taking appropriate history and being able to elicit and ascertain the correct signs. In real life, junior clinicians may arrive at the wrong diagnosis because they missed or confused the signs. As ChatGPT becomes further developed and specifically adapted for medicine, it could one day be useful in less common clinical cases (ie, cases that experts sometimes miss). Rather than AI replacing humans (clinicians), we see it as “clinicians using AI” replacing “clinicians who do not use AI” in the coming years.</p>
    <fig id="figure1" position="float">
      <label>Figure 1</label>
      <caption>
        <p>Diagnosing a case of acute organophosphate poisoning in ChatGPT.</p>
      </caption>
      <graphic xlink:href="mededu_v9i1e46876_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
    </fig>
  </body>
  <back>
    <app-group/>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">AI</term>
          <def>
            <p>artificial intelligence</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">GPT-3 x</term>
          <def>
            <p>Generative Pre-trained Transformer 3</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <fn-group>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
    <ref-list>
      <ref id="ref1">
        <label>1</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Gilson</surname>
              <given-names>A</given-names>
            </name>
            <name name-style="western">
              <surname>Safranek</surname>
              <given-names>CW</given-names>
            </name>
            <name name-style="western">
              <surname>Huang</surname>
              <given-names>T</given-names>
            </name>
            <name name-style="western">
              <surname>Socrates</surname>
              <given-names>V</given-names>
            </name>
            <name name-style="western">
              <surname>Chi</surname>
              <given-names>L</given-names>
            </name>
            <name name-style="western">
              <surname>Taylor</surname>
              <given-names>RA</given-names>
            </name>
            <name name-style="western">
              <surname>Chartash</surname>
              <given-names>D</given-names>
            </name>
          </person-group>
          <article-title>How does ChatGPT perform on the United States Medical Licensing Examination? The implications of large language models for medical education and knowledge assessment</article-title>
          <source>JMIR Med Educ</source>
          <year>2023</year>
          <month>02</month>
          <day>08</day>
          <volume>9</volume>
          <fpage>e45312</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://mededu.jmir.org/2023//e45312/"/>
          </comment>
          <pub-id pub-id-type="doi">10.2196/45312</pub-id>
          <pub-id pub-id-type="medline">36753318</pub-id>
          <pub-id pub-id-type="pii">v9i1e45312</pub-id>
          <pub-id pub-id-type="pmcid">PMC9947764</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref2">
        <label>2</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Kung</surname>
              <given-names>TH</given-names>
            </name>
            <name name-style="western">
              <surname>Cheatham</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Medenilla</surname>
              <given-names>A</given-names>
            </name>
            <name name-style="western">
              <surname>Sillos</surname>
              <given-names>C</given-names>
            </name>
            <name name-style="western">
              <surname>De Leon</surname>
              <given-names>L</given-names>
            </name>
            <name name-style="western">
              <surname>Elepaño</surname>
              <given-names>Camille</given-names>
            </name>
            <name name-style="western">
              <surname>Madriaga</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Aggabao</surname>
              <given-names>R</given-names>
            </name>
            <name name-style="western">
              <surname>Diaz-Candido</surname>
              <given-names>G</given-names>
            </name>
            <name name-style="western">
              <surname>Maningo</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Tseng</surname>
              <given-names>V</given-names>
            </name>
          </person-group>
          <article-title>Performance of ChatGPT on USMLE: potential for AI-assisted medical education using large language models</article-title>
          <source>PLOS Digit Health</source>
          <year>2023</year>
          <month>02</month>
          <day>9</day>
          <volume>2</volume>
          <issue>2</issue>
          <fpage>e0000198</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://europepmc.org/abstract/MED/36812645"/>
          </comment>
          <pub-id pub-id-type="doi">10.1371/journal.pdig.0000198</pub-id>
          <pub-id pub-id-type="medline">36812645</pub-id>
          <pub-id pub-id-type="pii">PDIG-D-22-00371</pub-id>
          <pub-id pub-id-type="pmcid">PMC9931230</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref3">
        <label>3</label>
        <nlm-citation citation-type="web">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Hailu</surname>
              <given-names>R</given-names>
            </name>
            <name name-style="western">
              <surname>Beam</surname>
              <given-names>A</given-names>
            </name>
            <name name-style="western">
              <surname>Mehrotra</surname>
              <given-names>A</given-names>
            </name>
          </person-group>
          <article-title>ChatGPT-assisted diagnosis: is the future suddenly here?</article-title>
          <source>STAT</source>
          <year>2023</year>
          <month>02</month>
          <day>13</day>
          <access-date>2023-03-06</access-date>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://www.statnews.com/2023/02/13/chatgpt-assisted-diagnosis/">https://www.statnews.com/2023/02/13/chatgpt-assisted-diagnosis/</ext-link>
          </comment>
        </nlm-citation>
      </ref>
      <ref id="ref4">
        <label>4</label>
        <nlm-citation citation-type="web">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Mehdi</surname>
              <given-names>Y</given-names>
            </name>
          </person-group>
          <article-title>Reinventing search with a new AI-powered Microsoft Bing and Edge, your copilot for the web</article-title>
          <source>Official Microsoft Blog</source>
          <year>2023</year>
          <month>02</month>
          <day>07</day>
          <access-date>2023-03-06</access-date>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://blogs.microsoft.com/blog/2023/02/07/reinventing-search-with-a-new-ai-powered-microsoft-bing-and-edge-your-copilot-for-the-web/">https://blogs.microsoft.com/blog/2023/02/07/reinventing-search-with-a-new-ai-powered-microsoft-bing-and-edge-your-copilot-for-the-web/</ext-link>
          </comment>
        </nlm-citation>
      </ref>
      <ref id="ref5">
        <label>5</label>
        <nlm-citation citation-type="web">
          <article-title>ChatGPT (Feb 13, 2023, release)</article-title>
          <source>OpenAI</source>
          <access-date>2023-03-06</access-date>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://chat.openai.com/">https://chat.openai.com/</ext-link>
          </comment>
        </nlm-citation>
      </ref>
      <ref id="ref6">
        <label>6</label>
        <nlm-citation citation-type="web">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Jiranantakan</surname>
              <given-names>T</given-names>
            </name>
          </person-group>
          <article-title>Toxicology case studies: medical preparedness &#38; responses for chemical and radiological emergencies (slide 11)</article-title>
          <source>Mahidol University</source>
          <year>2018</year>
          <month>01</month>
          <day>21</day>
          <access-date>2023-03-06</access-date>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="http://envocc.ddc.moph.go.th/uploads/OEHA2/ELM/Module%204/3.2%206P_Handout_MOPH-ExecutiveLevel_ToxicologyandOEM_2018_Thanjira_Jiranantakan.pdf">http://envocc.ddc.moph.go.th/uploads/OEHA2/ELM/Module%204/3.2%206P_Handout_MOPH-ExecutiveLevel_ToxicologyandOEM_2018_Thanjira_Jiranantakan.pdf</ext-link>
          </comment>
        </nlm-citation>
      </ref>
    </ref-list>
  </back>
</article>
