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      <journal-id journal-id-type="ojs">journal</journal-id>
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        <journal-title xml:lang="en">Journal For International Medical Graduates</journal-title>
        <abbrev-journal-title xml:lang="en">Journal For International Medical Graduates</abbrev-journal-title>
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      <publisher>
        <publisher-name>California Institute of Behavioral Neurosciences and Psychology</publisher-name>
        <publisher-loc>
          <country>US</country>
          <uri>https://www.cibnp.com</uri>
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      <issn pub-type="epub">2832-9864</issn>
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    <article-meta>
      <article-id pub-id-type="publisher-id">219</article-id>
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          <subject>Articles</subject>
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      <title-group>
        <article-title xml:lang="en">Artificial Intelligence Changing the Surgical Field, Specifically Transplantation: A Systematic Review</article-title>
      </title-group>
      <contrib-group content-type="author">
        <contrib>
          <name-alternatives>
            <string-name specific-use="display">Kimberly Cortes Perez</string-name>
            <name name-style="western" specific-use="primary">
              <surname>Perez</surname>
              <given-names>Kimberly Cortes</given-names>
            </name>
          </name-alternatives>
          <email>kcortes@umhs-sk.net</email>
          <xref ref-type="aff" rid="aff-1"/>
        </contrib>
        <contrib>
          <name-alternatives>
            <string-name specific-use="display">Viktoriia Zarovniaeva</string-name>
            <name name-style="western" specific-use="primary">
              <surname>Zarovniaeva</surname>
              <given-names>Viktoriia</given-names>
            </name>
          </name-alternatives>
          <email>viktoriia.zarovniaeva@jimgs.com</email>
          <xref ref-type="aff" rid="aff-2"/>
        </contrib>
        <contrib>
          <name-alternatives>
            <string-name specific-use="display">Summayya Anwar</string-name>
            <name name-style="western" specific-use="primary">
              <surname>Anwar</surname>
              <given-names>Summayya</given-names>
            </name>
          </name-alternatives>
          <email>summayaa.anwar@gmail.com</email>
        </contrib>
        <contrib>
          <name-alternatives>
            <string-name specific-use="display">Sehej Sandhu</string-name>
            <name name-style="western" specific-use="primary">
              <surname>Sandhu</surname>
              <given-names>Sehej</given-names>
            </name>
          </name-alternatives>
          <email>sehej.sandhu@jimgs.com</email>
        </contrib>
        <contrib>
          <name-alternatives>
            <string-name specific-use="display">Saba Kazmi</string-name>
            <name name-style="western" specific-use="primary">
              <surname>Kazmi</surname>
              <given-names>Saba</given-names>
            </name>
          </name-alternatives>
          <email>saba.kazmi@jimgs.com</email>
        </contrib>
        <contrib>
          <name-alternatives>
            <string-name specific-use="display">Lubna Mohammed</string-name>
            <name name-style="western" specific-use="primary">
              <surname>Mohammed</surname>
              <given-names>Lubna</given-names>
            </name>
          </name-alternatives>
          <email>doclubna23@gmail.com</email>
        </contrib>
      </contrib-group>
      <aff id="aff-1">
        <institution content-type="orgname">University of Medicine and Health Sciences, Basseterre, St. Kitts &amp; Nevis</institution>
      </aff>
      <aff id="aff-2">
        <institution content-type="orgname">California Institute of Behavioral Neurosciences &amp; Psychology, Fairfield, USA</institution>
      </aff>
      <pub-date date-type="pub" publication-format="epub">
        <day>23</day>
        <month>01</month>
        <year>2026</year>
      </pub-date>
      <pub-history>
        <event event-type="received">
          <event-desc>Received: <date date-type="received" iso-8601-date="2026-01-23T11:44:42+00:00"><day>23</day><month>1</month><year>2026</year></date></event-desc>
        </event>
      </pub-history>
      <permissions>
        <copyright-statement>Copyright (c) 2026 Journal For International Medical Graduates</copyright-statement>
        <copyright-year>2026</copyright-year>
        <copyright-holder>Journal For International Medical Graduates</copyright-holder>
      </permissions>
      <self-uri xlink:href="https://www.jimgs.com/ojs/index.php/journal/article/view/219"/>
      <kwd-group xml:lang="en">
        <kwd>Artificial Intelligence (AI)</kwd>
        <kwd>Transplant surgery</kwd>
        <kwd>Machine learning &amp; deep learning</kwd>
        <kwd>Decision-making &amp; management</kwd>
        <kwd>Systematic review (2019–2024)</kwd>
      </kwd-group>
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    <ref-list>
      <ref id="R1">
        <mixed-citation>Jarvis T, Thornburg D, Rebecca AM, Teven CM: Artificial Intelligence in Plastic Surgery: Current Applications, Future Directions, and Ethical Implications. Plast Reconstr Surg Glob Open. 2020, 8:. 10.1097/GOX.0000000000003200</mixed-citation>
      </ref>
      <ref id="R2">
        <mixed-citation>Hashimoto DA, Rosman G, Rus D, Meireles OR: Artificial Intelligence in Surgery: Promises and Perils. Ann Surg. 2018, 268:. 10.1097/SLA.0000000000002693</mixed-citation>
      </ref>
      <ref id="R3">
        <mixed-citation>Peloso A, Moeckli B, Delaune V, Oldani G, Andres A, Compagnon P: Artificial Intelligence: Present and Future Potential for Solid Organ Transplantation. Transplant International. 2022, 35:. 10.3389/ti.2022.10640</mixed-citation>
      </ref>
      <ref id="R4">
        <mixed-citation>Bektaş M, Reiber BMM, Pereira JC, Burchell GL, van der Peet DL: Artificial Intelligence in Bariatric Surgery: Current Status and Future Perspectives. Obes Surg. 2022, 32:. 10.1007/s11695-022-06146-1</mixed-citation>
      </ref>
      <ref id="R5">
        <mixed-citation>Wang Y, Lir N, Chen L, et al.: Guidelines, Consensus Statements, and Standards for the Use of Artificial Intelligence in Medicine: Systematic Review. J Med Internet Res. 2023, 25:. 10.2196/46089</mixed-citation>
      </ref>
      <ref id="R6">
        <mixed-citation>Dias RD, Shah JA, Zenati MA: Artificial intelligence in cardiothoracic surgery. Minerva Cardioangiol. 2020, 68:. 10.23736/S0026-4725.20.05235-4</mixed-citation>
      </ref>
      <ref id="R7">
        <mixed-citation>Qu Z, Oedingen C, Bartling T, Krauth C, Schrem H: Systematic review on the involvement and engagement of patients as advisers for the organisation of organ transplantation services. BMJ Open. 2023, 13:. 10.1136/bmjopen-2023-072091</mixed-citation>
      </ref>
      <ref id="R8">
        <mixed-citation>Naruka V, Arjomandi Rad A, Subbiah Ponniah H, et al.: Machine learning and artificial intelligence in cardiac transplantation: A systematic review. Artif Organs. 2022, 46:. 10.1111/aor.14334</mixed-citation>
      </ref>
      <ref id="R9">
        <mixed-citation>Clement J, Maldonado AQ: Augmenting the Transplant Team With Artificial Intelligence: Toward Meaningful AI Use in Solid Organ Transplant. Front Immunol. 2021, 12:. 10.3389/fimmu.2021.694222</mixed-citation>
      </ref>
      <ref id="R10">
        <mixed-citation>Park SH, Mazumder NR, Mehrotra S, Ho B, Kaplan B, Ladner DP: Artificial Intelligence-related Literature in Transplantation: A Practical Guide. Transplantation. 2021, 105:. 10.1097/TP.0000000000003304</mixed-citation>
      </ref>
      <ref id="R11">
        <mixed-citation>Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. doi:10.1136/bmj.n71</mixed-citation>
      </ref>
      <ref id="R12">
        <mixed-citation>Baethge C, Goldbeck-Wood S, Mertens S. SANRA—a scale for the quality assessment of narrative review articles. Res Integr Peer Rev. 2019;4:5. doi:10.1186/s41073-019-0064-8</mixed-citation>
      </ref>
      <ref id="R13">
        <mixed-citation>Shea B J, Reeves B C, Wells G, Thuku M, Hamel C, Moran J et al. AMSTAR 2: a critical appraisal tool for systematic reviews that include randomized or non-randomised studies of healthcare interventions or both BMJ 2017: 358;j4008 doi: 10.1136/bmj.j4008</mixed-citation>
      </ref>
      <ref id="R14">
        <mixed-citation>Schwantes IR, Axelrod DA: Technology-Enabled Care and Artificial Intelligence in Kidney Transplantation. Curr Transplant Rep. 2021, 8:. 10.1007/s40472-021-00336-z</mixed-citation>
      </ref>
      <ref id="R15">
        <mixed-citation>Rawashdeh B: Artificial Intelligence in Organ Transplantation: Surveying Current Applications, Addressing Challenges and Exploring Frontiers. 200AD.</mixed-citation>
      </ref>
      <ref id="R16">
        <mixed-citation>Balch JA, Delitto D, Tighe PJ, et al.: Machine Learning Applications in Solid Organ Transplantation and Related Complications. Front Immunol. 2021, 12:. 10.3389/fimmu.2021.739728</mixed-citation>
      </ref>
      <ref id="R17">
        <mixed-citation>Badrouchi S, Bacha MM, Hedri H, Ben Abdallah T, Abderrahim E: Toward generalizing the use of artificial intelligence in nephrology and kidney transplantation. J Nephrol. 2023, 36:. 10.1007/s40620-022-01529-0</mixed-citation>
      </ref>
      <ref id="R18">
        <mixed-citation>Ramalhete L, Almeida P, Ferreira R, Abade O, Teixeira C, Araújo R: Revolutionizing Kidney Transplantation: Connecting Machine Learning and Artificial Intelligence with Next-Generation Healthcare—From Algorithms to Allografts. BioMedInformatics. 2024, 4:. 10.3390/biomedinformatics4010037</mixed-citation>
      </ref>
      <ref id="R19">
        <mixed-citation>Seyahi N, Ozcan SG: Artificial intelligence and kidney transplantation. World J Transplant. 2021, 11:277–89. 10.5500/WJT.V11.I7.277</mixed-citation>
      </ref>
      <ref id="R20">
        <mixed-citation>Bhat M, Rabindranath M, Chara BS, Simonetto DA: Artificial intelligence, machine learning, and deep learning in liver transplantation. J Hepatol. 2023, 78:. 10.1016/j.jhep.2023.01.006</mixed-citation>
      </ref>
      <ref id="R21">
        <mixed-citation>Veerankutty FH, Jayan G, Yadav MK, et al.: Artificial Intelligence in hepatology, liver surgery and transplantation: Emerging applications and frontiers of research. World J Hepatol. 2021, 13:. 10.4254/wjh.v13.i12.1977</mixed-citation>
      </ref>
      <ref id="R22">
        <mixed-citation>Palmieri V, Montisci A, Vietri MT, et al.: Artificial intelligence, big data and heart transplantation: Actualities. Int J Med Inform. 2023, 176:. 10.1016/j.ijmedinf.2023.105110</mixed-citation>
      </ref>
      <ref id="R23">
        <mixed-citation>Tanveer Y, Arif A, Tsenteradze T, et al.: Revolutionizing Heart Transplantation: A Multidisciplinary Approach to Xenotransplantation, Immunosuppression, Regenerative Medicine, Artificial Intelligence, and Economic Sustainability. Cureus. Published Online First: 2023. 10.7759/cureus.46176</mixed-citation>
      </ref>
      <ref id="R24">
        <mixed-citation>Decharatanachart P, Chaiteerakij R, Tiyarattanachai T, Treeprasertsuk S: Application of artificial intelligence in non-alcoholic fatty liver disease and liver fibrosis: a systematic review and meta-analysis. Therap Adv Gastroenterol. 2021, 14:. 10.1177/17562848211062807</mixed-citation>
      </ref>
      <ref id="R25">
        <mixed-citation>Morrow E, Zidaru T, Ross F, Mason C, Patel KD, Ream M, Stockley R: Artificial intelligence technologies and compassion in healthcare: A systematic scoping review. Front Psychol. 2023, 13:. 10.3389/fpsyg.2022.971044</mixed-citation>
      </ref>
      <ref id="R26">
        <mixed-citation>Bodenstedt S, Wagner M, Müller-Stich BP, Weitz J, Speidel S: Artificial intelligence-assisted surgery: Potential and challenges. Visc Med. 2020, 36:. 10.1159/000511351</mixed-citation>
      </ref>
      <ref id="R27">
        <mixed-citation>Ayano YM, Schwenker F, Dufera BD, Debelee TG: Interpretable Machine Learning Techniques in ECG-Based Heart Disease Classification: A Systematic Review. Diagnostics. 2023, 13:. 10.3390/diagnostics13010111</mixed-citation>
      </ref>
      <ref id="R28">
        <mixed-citation>Muhammad D, Bendechache M: Unveiling the black box: A systematic review of Explainable Artificial Intelligence in medical image analysis. Comput Struct Biotechnol J. 2024, 24:542–60. 10.1016/J.CSBJ.2024.08.005</mixed-citation>
      </ref>
    </ref-list>
  </back>
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