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  <titleInfo>
    <title>Artificial intelligence (AI) competencies for undergraduate medical dental education (UGME/DE)- a mixed method study</title>
  </titleInfo>
  <name type="personal">
    <namePart>Dr. Seema Shafiq (24628)</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Islamabad</placeTerm>
    </place>
    <publisher>(unpublished)</publisher>
    <dateIssued>2022</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <physicalDescription>
    <extent>xv; 122 p.  : ill. : 30 cm. +CD</extent>
  </physicalDescription>
  <note>Submitted in fulfillment of the requirements for the degree in Master's in Healthcare Professions Education to the Faculty of Health &amp; Medical Sciences.                                                                                                         </note>
  <note>Includes bibliographical references and appendix</note>
  <note>Thesis supervisor: Dr. Madiha Sajjad</note>
  <note>Thesis (MS)--Riphah international university, 2022</note>
  <note>English</note>
  <subject>
    <topic>Health professional education</topic>
    <topic>Medical and dental education</topic>
    <topic>Modified delphi study</topic>
    <topic>Artificial intelligence</topic>
    <topic>FMS</topic>
  </subject>
  <classification authority="ddc">610.78 SEE</classification>
  <recordInfo>
    <recordContentSource authority="marcorg"/>
    <recordChangeDate encoding="iso8601">20260812102239.0</recordChangeDate>
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